Record 1 of 170

Title: Photoelectron backscattering in the microchannel plate photomultiplier tube

Author(s): Chen, P (Chen, Ping); Tian, JS (Tian, Jinshou); Guo, LH (Guo, Lehui); Wei, YL (Wei, Yonglin); Liu, HL (Liu, Hulin); Sai, XF (Sai, Xiaofeng); Wang, X (Wang, Xing); Lu, Y (Lu, Yu); Wang, C (Wang, Chao); Wang, JF (Wang, Junfeng); He, K (He, Kai); Tian, LP (Tian, Liping); Xin, LW (Xin, Liwei); Guo, HT (Guo, Haitao)

Source: NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT  Volume: 912  Special Issue: SI  Pages: 112-114  DOI: 10.1016/j.nima.2017.10.081  Published: DEC 21 2018  

Abstract: The late pulse occurring in photomultiplier tubes (PMTS) is attributed to photoelectron backscattering. The small effective open area of microchannel plates (MCPs) increases the probability of photoelectrons bouncing on the front surface of MCPs and aggravates late pulses. In this work, a three-dimensional MCP-PMT model is developed in CST particle studio, a powerful electromagnetic field simulation program, to evaluate the effects of secondary emission yield (SEY) property of the MCP input facet and electric field on the photoelectron backscattering. Timing properties and the number of collected electrons are extracted without smearing due to electronic noise and finite pulse width. Results predict that the collection efficiency (CE) and the time performance can be improved by coating the MCP Nickel-Chromium input electrode with a high SEY material and operating in a proper photocathode-MCP bias voltage. (C) 2017 Elsevier B.V. All rights reserved.

Accession Number: WOS:000453717200030

Conference Title: 8th International Conference on New Developments in Photodetection (NDIP)

Conference Date: JUL, 2017

Conference Location: Tours, FRANCE

Conference Sponsors: CEA, DRF, Inst Res Fundamental Laws Universe, CEA Tech LIST, CNRS, Inst Natl Physique Nucl Physique Particules, Univ Paris Diderot, Lab AstroParticule Cosmologie, CNRS, Ecole Polytechnique, Lab Physique Interfaces Couches Minces

Author Identifiers:

ISSN: 0168-9002

eISSN: 1872-9576

Record 2 of 170

Title: Broadband RF Channelizer Based on an Integrated Optical Frequency Kerr Comb Source

Author(s): Xu, XY (Xu, Xingyuan); Wu, JY (Wu, Jiayang); Nguyen, TG (Nguyen, Thach G.); Chu, ST (Chu, Sai Tak); Little, BE (Little, Brent E.); Morandotti, R (Morandotti, Roberto); Mitchell, A (Mitchell, Arnan); Moss, DJ (Moss, David J.)

Source: JOURNAL OF LIGHTWAVE TECHNOLOGY  Volume: 36  Issue: 19  Special Issue: SI  Pages: 4519-4526  DOI: 10.1109/JLT.2018.2819172  Published: OCT 1 2018  

Abstract: We report a broadband RF channelizer based on an integrated optical frequency Kerr micro-comb source, with an RF channelizing bandwidth of 90 GHz, a high RF spectral slice resolution of 1.04 GHz, and experimentally verify the RF performance up to 19 GHz. This approach of realizing RF channelizers offers reduced complexity, size, and potential cost for a wide range of applications to microwave signal detection.

Accession Number: WOS:000443892500039

Conference Title: International Topical Meeting on Microwave Photonics (MWP)

Conference Date: OCT 23-26, 2017

Conference Location: Tsinghua Univ, Beijing, PEOPLES R CHINA

Conference Sponsors: Beijing Univ Posts & Telecommunicat, CAS, Inst Semiconductors, NUAA, SWJTU, IPOC, LUSTER LightTech Grp, YOFC, IEEE Photon Soc, IEEE Microwave Theory & Tech Soc, TNList, Chinese Laser Press, EiC, Tektronix, Conquer, REALPHotoN, Miracle Photon, COMTEST

Conference Host: Tsinghua Univ

Author Identifiers:

ISSN: 0733-8724

eISSN: 1558-2213

Record 3 of 170

Title: Suppression of the critical collapse for one-dimensional solitons by saturable quintic nonlinear lattices

Author(s): Shi, JC (Shi, Jincheng); Zeng, JH (Zeng, Jianhua); Malomed, BA (Malomed, Boris A.)

Source: CHAOS  Volume: 28  Issue: 7  Article Number: 075501  DOI: 10.1063/1.5015933  Published: JUL 2018  

Abstract: The stabilization of one-dimensional solitons by a nonlinear lattice against the critical collapse in the focusing quintic medium is a challenging issue. We demonstrate that this purpose can be achieved by combining a nonlinear lattice and saturation of the quintic nonlinearity. The system supports three species of solitons, namely, fundamental (even-parity) ones and dipole (odd-parity) modes of onand off-site-centered types. Very narrow fundamental solitons are found in an approximate analytical form, and systematic results for very broad unstable and moderately broad partly stable solitons, including their existence and stability areas, are produced by means of numerical methods. Stability regions of the solitons are identified by means of systematic simulations. The stability of all the soliton species obeys the Vakhitov-Kolokolov criterion. Published by AIP Publishing.

Accession Number: WOS:000440606100031

PubMed ID: 30070511

Conference Title: 19th MEDYFINOL Conference

Conference Date: DEC 05-09, 2016

Conference Location: Valdivia, CHILE

Conference Sponsors: MEDYFINOL

Author Identifiers:

ISSN: 1054-1500

eISSN: 1089-7682

Record 4 of 170

Title: Learning to Predict Eye Fixations via Multiresolution Convolutional Neural Networks

Author(s): Liu, NA (Liu, Nian); Han, JW (Han, Junwei); Liu, TM (Liu, Tianming); Li, XL (Li, Xuelong)

Source: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS  Volume: 29  Issue: 2  Pages: 392-404  DOI: 10.1109/TNNLS.2016.2628878  Published: FEB 2018  

Abstract: Eye movements in the case of freely viewing natural scenes are believed to be guided by local contrast, global contrast, and top-down visual factors. Although a lot of previous works have explored these three saliency cues for several years, there still exists much room for improvement on how to model them and integrate them effectively. This paper proposes a novel computation model to predict eye fixations, which adopts a multiresolution convolutional neural network (Mr-CNN) to infer these three types of saliency cues from raw image data simultaneously. The proposed Mr-CNN is trained directly from fixation and nonfixation pixels with multiresolution input image regions with different contexts. It utilizes image pixels as inputs and eye fixation points as labels. Then, both the local and global contrasts are learned by fusing information in multiple contexts. Meanwhile, various top-down factors are learned in higher layers. Finally, optimal combination of top-down factors and bottom-up contrasts can be learned to predict eye fixations. The proposed approach significantly outperforms the state-of-the-art methods on several publically available benchmark databases, demonstrating the superiority of Mr-CNN. We also apply our method to the RGB-D image saliency detection problem. Through learning saliency cues induced by depth and RGB information on pixel level jointly and their interactions, our model achieves better performance on predicting eye fixations in RGB-D images.

Accession Number: WOS:000422952400013

PubMed ID: 27913362

Conference Title: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Conference Date: JUN 07-12, 2015

Conference Location: Boston, MA

Conference Sponsors: IEEE

Author Identifiers:

ISSN: 2162-237X

eISSN: 2162-2388

Record 5 of 170

Title: Dynamics of laser with an integrated nonlinear waveguide

Author(s): Aadhi, A (Aadhi, A.); Kovalev, AV (Kovalev, Anton V.); Kues, M (Kues, Michael); Roztocki, P (Roztocki, Piotr); Reimer, C (Reimer, Christian); Zhang, Y (Zhang, Young); Wang, T (Wang, Tao); Little, BE (Little, Brent E.); Chu, ST (Chu, Sai T.); Moss, DJ (Moss, David J.); Wang, ZM (Wang, Zhiming); Viktorov, EA (Viktorov, Evgeny A.); Morandotti, R (Morandotti, Roberto)

Book Group Author(s): IEEE

Source: 2018 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO)  Book Series: Conference on Lasers and Electro-Optics  Published: 2018  

Abstract: Exploiting a single figure-eight laser configuration that uses a highly nonlinear on-chip spiral waveguide, we experimentally demonstrate several mode-locking dynamics. We adjust the mode-locking pulse profiles in a controlled manner by varying the polarization.

Accession Number: WOS:000526031000446

Conference Title: Conference on Lasers and Electro-Optics (CLEO)

Conference Date: MAY 13-18, 2018

Conference Location: San Jose, CA

Conference Sponsors: IEEE

Author Identifiers:

ISSN: 2160-9020

ISBN: 978-1-9435-8042-2

Record 6 of 170

Title: Low Frequency Ultrasound Transcranial Imaging with Coherent Compounding of Diverging Chirp Waves

Author(s): Bai, C (Bai, Chen); Ji, ML (Ji, Meiling); Qiao, XY (Qiao, Xiaoyang); Sang, YC (Sang, Yuchao); Xu, SS (Xu, Shanshan); Wan, MX (Wan, Mingxi)

Book Group Author(s): IEEE

Source: 2018 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS)  Book Series: IEEE International Ultrasonics Symposium  Published: 2018  

Abstract: For transcranial imaging based on contrast microbubbles, the acoustic window is limited to the temporal bone with strong attenuation. Consequently, the images obtained with conventional compounded plane waves (CPW) transmission is often not good in contrast-to-noise ratio (CNR). This is partly attribute to that short pulse commonly has low ability to penetrate the temporal bone. And moreover, CPW will raise a shadow area in the relatively deep field where beams are not overlapped. Although this can be improved by increasing the numbers of transmitting angles, it will reduce the frame rate. Therefore, to realize improvement both in detective sensitivity of microbubbles and CNR in transcranial imaging, the compounding of diverging chirp waves (CDCW), which combined the low frequency signals and chirp excitation with compounded diverging waves imaging, was investigated in this study. After confirming that the deflection angle of 30 and the angle interval of 2 should provide satisfactory imaging result, a phantom experiment with the 3-D printed skull and blood vessel model was performed and compared with CPW method. The results proved that CDCW can improve 2.95 dB of CNR with larger perspective, which can be an effective method for the future study of transcranial ultrasound imaging.

Accession Number: WOS:000458693001098

Conference Title: IEEE International Ultrasonics Symposium (IUS)

Conference Date: OCT 22-25, 2018

Conference Location: Kobe, JAPAN

Conference Sponsors: IEEE

ISSN: 1948-5719

ISBN: 978-1-5386-3425-7

Record 7 of 170

Title: Ultrasound Transcranial Imaging based on Fast Coherent-time-delay and Correlative Pixel-based Beamforming

Author(s): Bai, C (Bai, Chen); Zhang, XY (Zhang, Xinyu); Qiao, XY (Qiao, Xiaoyang); Sang, YC (Sang, Yuchao); Zhong, H (Zhong, Hui); Wan, MX (Wan, Mingxi)

Book Group Author(s): IEEE

Source: 2018 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS)  Book Series: IEEE International Ultrasonics Symposium  Published: 2018  

Abstract: Adaptive beamforming, such as the fast minimum variance (FMV) algorithm, has been developed to improve the contrast-to-noise ratio (CNR) in plane wave imaging with extremely reduced computation. However, in ultrasound transcranial imaging, FMV will be confronted with challenges raised by echoes with low intensities, especially when calculating the beamformer contributions at points which are in a distance from the beam center line. In order to improve the CNR and resolution in low echo beamforming during transcranial imaging, this paper proposed an adaptive beamforming which combined with fast minimum variance (FMV) algorithm and unified pixel-based beamforming, i.e. fast coherent-time-delay and correlative pixel-based (FCCP) beamforming. By considering the influence of neighboring pixels during the beamforming, this method can remove undesirable information instead of increasing diagnostic information in transcranial imaging. The influence of neighboring pixels was reflected by coherent-time-delay and coherent coefficients of each covariance matrix. After the simulation and phantom study, the results prove that CNR and the resolution are indeed ameliorated be FCCP, compared with delay-and-sum (DAS) and conventional minimum variance (MV) algorithm. In simulation, the CNR was augmented by 6 dB as well as the lateral resolution was improved by from 0.1536 mm from 0.1740 mm. FCCP is the combination of compound coherent-time-delay and correlative pixel-based, which could improves the resolution and contrast if image, and FMV. FMV is involved for the high complexity caused by matrix inversion, the computation was simplified by principal component analysis (PCA) when calculate the covariance matrix.

Accession Number: WOS:000458693000236

Conference Title: IEEE International Ultrasonics Symposium (IUS)

Conference Date: OCT 22-25, 2018

Conference Location: Kobe, JAPAN

Conference Sponsors: IEEE

ISSN: 1948-5719

ISBN: 978-1-5386-3425-7

Record 8 of 170

Title: Data-Driven Fuzzy Controller Design for Hypersonic Vehicle

Author(s): Bai, JM (Bai, Jian-Ming); Zhao, GS (Zhao, Guang-She); Rong, HJ (Rong, Hai-Jun)

Book Group Author(s): IEEE

Source: IEEE 20TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS / IEEE 16TH INTERNATIONAL CONFERENCE ON SMART CITY / IEEE 4TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND SYSTEMS (HPCC/SMARTCITY/DSS)  Pages: 1698-1703  DOI: 10.1109/HPCC/SmartCity/DSS.2018.00275  Published: 2018  

Abstract: This paper presents a data driven fuzzy controller for a generic hypersonic vehicle. The fuzzy systems with any bounded nonconstant piecewise continuous membership functions are introduced to reconstruct the unknown system dynamics without relying on the exact mathematical models. The control law is designed based on the reconstructed fuzzy models. The stability analysis of the whole control system is presented from the Lyapunov function and shows that the tracking errors converge to zero. In order to save online computation time, the fuzzy membership function parameters are determined based on the idea of the OS-Fuzzy-ELM algorithm by randomly assigning the values to them. The simulation results demonstrate the superior performance of the proposed controller.

Accession Number: WOS:000468511200243

Conference Title: 20th IEEE International Conference on High Performance Computing and Communications (HPCC) / 16th IEEE International Conference on Smart City (SmartCity) / 4th IEEE International Conference on Data Science and Systems (DSS)

Conference Date: JUN 28-30, 2018

Conference Location: Exeter, ENGLAND

Conference Sponsors: IEEE, IEEE Comp Soc, IEEE Tech Comm Scalable Comp, Univ Exeter

ISBN: 978-1-5386-6614-2

Record 9 of 170

Title: Robust controllable FD-FWM based Micro-combs

Author(s): Bao, HL (Bao, Hualong); Cooper, A (Cooper, Andrew); Di Lauro, L (Di Lauro, Luigi); Rowley, M (Rowley, Maxwell); Wetzel, B (Wetzel, Benjamin); Chu, ST (Chu, Sai Tak); Moss, DJ (Moss, Dave J.); Morandotti, R (Morandotti, Roberto); Little, BE (Little, Brent E.); Peccianti, M (Peccianti, Marco); Pasquazi, A (Pasquazi, Alessia)

Book Group Author(s): IEEE

Source: 2018 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE (ACP)  Book Series: Asia Communications and Photonics Conference and Exhibition  Published: 2018  

Abstract: The FD-FWM is a proven approach to implement coherent Microcomb generation. Comb repetition rates can be finely controlled in a robust way, while maintaining the coherence during the whole process, whereas full-coherent type-I and type-II combs can be accessible. We present our recent advances towards effective control of optical combs exploiting integrated chip-based resonators.

Accession Number: WOS:000459847900128

Conference Title: Asia Communications and Photonics Conference (ACP)

Conference Date: OCT 26-29, 2018

Conference Location: Hangzhou, PEOPLES R CHINA

Author Identifiers:

ISSN: 2162-108X

ISBN: 978-1-5386-6158-1

Record 10 of 170

Title: GPU-based distortion correction for CMOS positioning camera using star point measurement

Author(s): Bu, F (Bu, Fan); Yao, DL (Yao, Dalei); Qiu, YH (Qiu, Yuehong); Cao, WC (Cao, Weicheng); Wang, L (Wang, Li)

Edited by: Xu B

Source: PROCEEDINGS OF 2018 IEEE 4TH INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC 2018)  Pages: 1247-1251  Published: 2018  

Abstract: Due to machining errors and assembly errors, the optical system of the camera is somewhat different from the ideal model through the pinholes. That means, there are different degrees of non-linear optical distortion between the ideal image and the actual image formed by the camera. In order to improve the positioning accuracy of the camera, distortion correction should be done. This paper puts forward a GPU-Based Star Calibration and Proofreading Algorithm (GBSC-PA). This algorithm is completed by CUDA programmable graphics processor technologies, and a number of lens distortion coefficients are solved using star point images. Moreover, the optimal distortion correction matrix can be used to improve the accuracy and speed of the algorithm greatly. Through the experimental measurements and simulation, the feasibility and efficiency of the new algorithm are verified. Compared with the conventional correction algorithm based on CPU, the speed-up ratio of GPU-based parallel program can be reached to 43.094.

Accession Number: WOS:000491408500245

Conference Title: IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC)

Conference Date: DEC 14-16, 2018

Conference Location: Chongqing, PEOPLES R CHINA

Conference Sponsors: IEEE, IEEE Harbin Sect, Global Union Acad Sci & Technol, Chongqing Global Union Acad Sci & Technol, Chongqing Geeks Educ Technol Co Ltd

Author Identifiers:

ISBN: 978-1-5386-5373-9

Record 11 of 170

Title: Hyperspectral Band Selection with Convolutional Neural Network

Author(s): Cai, R (Cai, Rui); Yuan, Y (Yuan, Yuan); Lu, XQ (Lu, Xiaoqiang)

Edited by: Lai JH; Liu CL; Chen X; Zhou J; Tan T; Zheng N; Zha H

Source: PATTERN RECOGNITION AND COMPUTER VISION (PRCV 2018), PT IV  Book Series: Lecture Notes in Computer Science  Volume: 11259  Pages: 396-408  DOI: 10.1007/978-3-030-03341-5_33  Published: 2018  

Abstract: Band selection is a kind of dimension reduction method, which tries to remove redundant bands and choose several pivotal bands to represent the entire hyperspectral image (HSI). Supervised band selection algorithms tend to perform well because of the introduction of prior information. However, The traditional methods are based on the entire image, without taking into account the differences in ground categories, and cannot figure out which band is discriminative for a specific category. In this paper, a supervised method is proposed based on the ground category with convolutional neural network (CNN). Firstly, we propose a structure called contribution map which can record discriminative feature location. Secondly, the contribution map is added to CNN to generate a new model called contribution map based CNN (CM-CNN). Thirdly, we apply CM-CNN for HSI classification with the whole bands. Then, we can get the contribution map which records discriminative bands location for each category. Finally, the contribution map guides us to select discriminative bands. We found that CM-CNN model can obtain a satisfactory classification result while preserving the position information of important bands. To verify the superiority of the proposed method, experiments are conducted on HSI classification. The results demonstrated the reliability of the proposed method in HSI classification.

Accession Number: WOS:000846893700033

Conference Title: 1st Chinese Conference on Pattern Recognition and Computer Vision (PRCV)

Conference Date: NOV 23-26, 2018

Conference Location: Guangzhou, PEOPLES R CHINA

Author Identifiers:

ISSN: 0302-9743

eISSN: 1611-3349

ISBN: 978-3-030-03341-5; 978-3-030-03340-8

Record 12 of 170

Title: Deep Learning-Based Detection and Segmentation for BVS Struts in IVOCT Images

Author(s): Cao, YH (Cao, Yihui); Lu, YF (Lu, Yifeng); Jin, QH (Jin, Qinhua); Jing, J (Jing, Jing); Chen, YD (Chen, Yundai); Li, JN (Li, Jianan); Zhu, R (Zhu, Rui)

Edited by: Stoyanov D; Taylor Z; Balocco S; Sznitman R

Source: INTRAVASCULAR IMAGING AND COMPUTER ASSISTED STENTING AND LARGE-SCALE ANNOTATION OF BIOMEDICAL DATA AND EXPERT LABEL SYNTHESIS  Book Series: Lecture Notes in Computer Science  Volume: 11043  Pages: 55-63  DOI: 10.1007/978-3-030-01364-6_7  Published: 2018  

Abstract: Bioresorbable Vascular Scaffold (BVS) is the latest stent type for the treatment of coronary artery disease. A major challenge of BVS is that once it is malapposed during implantation, it may potentially increase the risks of late stent thrombosis. Therefore it is important to analyze struts malapposition during implantation. This paper presents an automatic method for BVS malapposition analysis in intravascular optical coherence tomography images. Struts are firstly detected by a detector trained through deep learning. Then, struts boundaries are segmented using dynamic programming. Based on the segmentation, apposed and malapposed struts are discriminated automatically. Experimental results show that the proposed method successfully detected 97.7% of 4029 BVS struts with 2.41% false positives. The average Dice coefficient between the segmented struts and ground truth was 0.809. It concludes that the proposed method is accurate and efficient for BVS struts detection and segmentation, and enables automatic malapposition analysis.

Accession Number: WOS:000780421400007

Conference Title: 7th Joint International Workshop on Computing Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT) / 3rd International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis (LABELS)

Conference Date: SEP 16, 2018

Conference Location: Granada, SPAIN

ISSN: 0302-9743

eISSN: 1611-3349

ISBN: 978-3-030-01364-6; 978-3-030-01363-9

Record 13 of 170

Title: Design of Spatial Oval Plane Mirror and Its Support Structure

Author(s): Chai, WY (Chai Wenyi); Hu, YM (Hu Yongming); Wang, CJ (Wang Chenjie); Chen, S (Chen Su); Feng, S (Feng Song)

Edited by: Guofan J; Guangjun Z

Source: FOURTH SEMINAR ON NOVEL OPTOELECTRONIC DETECTION TECHNOLOGY AND APPLICATION  Book Series: Proceedings of SPIE  Volume: 10697  Article Number: UNSP 1069752  DOI: 10.1117/12.2307063  Published: 2018  

Abstract: For the diameter of 150mm elliptical flat mirror that used in the space, Selected the zerodur material and a lightweight design is conducted in the way of selected back-open-architecture with symmetrical axisymmetric arrangement, and in order to evaluate the effect of thermal stress from -10 degrees C to 45 degrees C on the mirror, a reflection mirror is designed based on the multipoint flexible support. The mirror component's mechanic and thermodynamic characteristics is analyzed with the simulation software, the support structure parameters are optimized, that can be used to evaluate the effect of gravity, assembly stress, and thermal stress load on mirror, while ensuring the component's stiffness and strength. According to the design condition developed a product and carried out mechanic and thermodynamic environment, the product could meet the shape accuracy PV lambda/3, RMS lambda/30 in the condition of thermodynamic environment, and the shape accuracy PV lambda/5, RMS lambda/40 in the condition of ground gravity and assembly stress (lambda= 632.8nm), while the product can withstand with the mechanical oscillation environment sinusoidal oscillation 10g, RMS random oscillatin acceleration 14.4g.

Accession Number: WOS:000435407700168

Conference Title: 4th Seminar on Novel Optoelectronic Detection Technology and Application

Conference Date: OCT 24-26, 2017

Conference Location: Nanjing, PEOPLES R CHINA

Conference Sponsors: Chinese Soc Opt Engn, Chinese Soc Astronaut, Photoelectron Technol Comm, Chinese Acad Engn, Div Informat & Elect Engn, Sci & Technol Low Light Level Night Vis Lab, N Night Vis Technol Co Ltd Corp

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-1948-7

Record 14 of 170

Title: The Influence of The stray light on MTF in Optical System

Author(s): Chao, M (Chao, Mei); Rui, Q (Rui, Qu); Aqi, Y (Aqi, Yan); Ma, YJ (Ma Yingjun)

Edited by: McBride JW; Tan J; Han S; Zhang X

Source: OPTICAL PRECISION MANUFACTURING, TESTING, AND APPLICATIONS  Book Series: Proceedings of SPIE  Volume: 10847  Article Number: UNSP 1084702  DOI: 10.1117/12.2501931  Published: 2018  

Abstract: The relationship between the illumination of the stray light and the modulation transfer function (MTF) of the optical imaging system is deducted by the manuscript. With the analysis, an experiment has been designed to confirm the analysis. The experiment result shows that: the exist of stray light will lead to the optical imaging system MTF reduce, the new imaging MTF is related to the MTF in ideal condition, object contrast, the illumination of the object and stray light.

Accession Number: WOS:000455301400001

Conference Title: Conference on Optical Precision Manufacturing, Testing, and Applications / International Symposium on Optoelectronic Technology and Application / Annual Conference of the Chinese-Society-for-Optical-Engineering (CSOE)

Conference Date: MAY 22-24, 2018

Conference Location: Beijing, PEOPLES R CHINA

Conference Sponsors: Chinese Soc Opt Engn, Chinese Soc Astronaut, Photoelectron Technol Comm, CHIA, Photoelectron Industrializat Comm, CHIA, Acad & Res, Dept Cooperat & Coordinat Ind, Sci & Technol Low Light Level Night Vis Lab, Chinese Acad Engn, Div Informat & Elect Engn

Author Identifiers:

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-2337-8

Record 15 of 170

Title: Autofocus Window Selection Algorithm Based on Saliency detection

Author(s): Chen, G (Chen, Guang); Fan, XW (Fan, Xuewu)

Edited by: Yu Y; Zuo C; Qian K

Source: SIXTH INTERNATIONAL CONFERENCE ON OPTICAL AND PHOTONIC ENGINEERING (ICOPEN 2018)  Book Series: Proceedings of SPIE  Volume: 10827  Article Number: 108271J  DOI: 10.1117/12.2500193  Published: 2018  

Abstract: Focus window selection is a very important step in the process of Auto-Focusing(AF). This paper proposes a new method for the selection of focus window, where a fast AF window selection algorithm based on image saliency region extraction is used to cut down the computation time and overcome the disturbance of the background in the automatic focusing system. Firstly, the salient object detection method based on the Minimum Barrier Plus(MB+) Transform algorithm is utilized to calculate the salient regions of the image in order to obtain a feature map. Secondly, a threshold method is used to de-noise the feature map. Then, correlation treatment method and boundary expansion method are used to build the focus window, of which the size and position are self-adaptive with the target. To the end, in this study, a comparison is made between the commonly used algorithm and the introduced window selection algorithm based on the improved MB + saliency detection in terms of accuracy and computation time. The result obtained indicates that our algorithm has better performance in highlighting the potential focus targets. And its better accuracy and less computation time make it suitable for tasks in general scenes and complex backgrounds.

Accession Number: WOS:000450859600054

Conference Title: 6th International Conference on Optical and Photonic Engineering (icOPEN)

Conference Date: MAY 08-11, 2018

Conference Location: Shanghai, PEOPLES R CHINA

Conference Sponsors: Opt & Photon Soc Singapore, Chinese Laser Press, Shanghai Univ, Xian Technol Univ, Xian Univ Posts & Telecommunicat, Opt & Photon Soc Singapore China, Nanjing Univ Sci & Technol, Sichuan Univ, Japan Soc Elect Microscopy, Orbbec 3D, LIGHTSOFT, CISPES, China Int Optoelectron Expo

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-2257-9

Record 16 of 170

Title: Real-time Detection and Recognition Algorithm for Hyperspectral Small Targets on Ocean

Author(s): Chen, JX (Chen Jiaxin); Zhang, G (Zhang Geng); Hu, BL (Hu Bingliang)

Edited by: Guina M; Gong H; Lu J; Liu D

Source: OPTICAL SENSING AND IMAGING TECHNOLOGIES AND APPLICATIONS  Book Series: Proceedings of SPIE  Volume: 10846  Article Number: UNSP 108460O  DOI: 10.1117/12.2503901  Published: 2018  

Abstract: Small anomaly detection in ocean evironment is an important problem in airborne remote sensing image processing, especially in hyperspectral data. Traditional algorithms solve this problem by finding the pixels have different appearance pattern with the background. However, these algorithm are not suitable for real-time applications. In this paper, we propose to learn the hyperspectral model of the seawater and localize the targets whose spectral feature do not well fit the trained model. This algorithm only uses historical information and is suitable to be used on airborne line-scanning data. Since hyperspectral property of ocean water is relatively stable, we use Gaussian mixture model to encode the statistical features of the background. Experimental results demonstrated that the proposed algorithm significantly improves processing efficiency in comparison with conventional methods, and maintains high accuracy with regard to other methods.

Accession Number: WOS:000455303600022

Conference Title: Conference on Optical Sensing and Imaging Technologies and Applications / International Symposium on Optoelectronic Technology and Application (OTA) / Annual Conference of the Chinese-Society-for-Optical-Engineering (CSOE)

Conference Date: MAY 22-24, 2018

Conference Location: Beijing, PEOPLES R CHINA

Conference Sponsors: Chinese Soc Opt Engn, Chinese Soc Astronaut, Photoelectron Technol Comm, CHIA, Photoelectron Industrializat Comm, CHIA, Dept Cooperat & Coordinat Ind Acad & Res, Sci & Technol Low Light Level Night Vis Lab, Chinese Acad Engn, Div Informat & Elect Engn

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-2335-4

Record 17 of 170

Title: An automatic image enhancement method based on the improved HCTLS

Author(s): Chen, JY (Chen, Junyu); Liu, JH (Liu, Jiahang); Zhou, CH (Zhou, Chenghu); Zhu, F (Zhu, Feng); Chen, TQ (Chen, Tieqiao); Zhang, H (Zhang, Hang)

Book Group Author(s): IEEE

Source: 2018 10TH IAPR WORKSHOP ON PATTERN RECOGNITION IN REMOTE SENSING (PRRS)  Book Series: IAPR Workshop on Pattern Recognition in Remote Sensing  Published: 2018  

Abstract: Remote sensing images often suffer low contrast, and the efficiency and robustness of contrast enhancement for remote sensing images is still a challenge. To meet with the requirements of applications, Liu et al recently proposed a self-adaptive contrast enhancement method (HCTLS) based on the histogram compacting transform (HCT). In this method, some gray levels on which the frequency is smaller than a certain reference, will merged into their adjacent levels for a compact level distribution. However, if the merged levels whose corresponding pixels in some connected regions, local contrast of these connected regions will decrease, even disappear. In this paper, an improved enhancement method (DPHCT) for remote sensing image based on the HCTLS is presented for preserving more the local detail and contrast. Firstly, extracting the connected regions from the enhanced result by HCT where the local contrast is decreased or disappeared. These connected regions are decomposed into the inner regions and the boundary regions adaptively. Then, construct pixel values by using the unified brightness function to maintain the contrast for the connected regions inside. At the same time eliminate stitching lines by using a weighted fusion spliced algorithm to eliminate the problem of borders outstanding in result of intensity roughness. Finally, the image is normalized into [0, 255] by linear stretch. Experimental results indicate that the proposed algorithm not only can enhance the global contrast but also can preserve local contrast and details.

Accession Number: WOS:000467742100019

Conference Title: 10th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS)

Conference Date: AUG 19-20, 2018

Conference Location: Beijing, PEOPLES R CHINA

Conference Sponsors: Int Assoc Pattern Recognit

ISSN: 2377-0198

ISBN: 978-1-5386-8479-5

Record 18 of 170

Title: ROBUST ADAPTIVE SPARSE LEARNING METHOD FOR GRAPH CLUSTERING

Author(s): Chen, ML (Chen, Mulin); Wang, Q (Wang, Qi); Li, XL (Li, Xuelong)

Book Group Author(s): IEEE

Source: 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)  Book Series: IEEE International Conference on Image Processing ICIP  Pages: 1618-1622  Published: 2018  

Abstract: Graph clustering aims to group the data into clusters according to a similarity graph, and has received sufficient attention in computer vision. As the basis of clustering, the quality of graph affects the results directly. In this paper, a Robust Adaptive Sparse Learning (RASL) method is proposed to improve the graph quality. The contributions made in this paper are three fold: (1) the sparse representation technique is employed to enforce the graph sparsity, and the l(2,1) norm is introduced to improve the robustness; (2) the intrinsic manifold structure is captured by investigating the local relationship of data points; (3) an efficient optimization algorithm is designed to solve the proposed problem. Experimental results on various real-world benchmark datasets demonstrate the promising results of the proposed graph-based clustering method.

Accession Number: WOS:000455181501149

Conference Title: 25th IEEE International Conference on Image Processing (ICIP)

Conference Date: OCT 07-10, 2018

Conference Location: Athens, GREECE

Conference Sponsors: Inst Elect & Electron Engneers, IEEE Signal Processing Soc

Author Identifiers:

ISSN: 1522-4880

ISBN: 978-1-4799-7061-2

Record 19 of 170

Title: Non-contact Blood Pressure Measurement Based on Pulse Transit Time

Author(s): Chen, PY (Chen Pengyong); Zhou, ZF (Zhou Zuofeng); Zhao, T (Zhao Ting); Cao, JZ (Cao Jianzhong); Yang, HT (Yang Hongtao)

Edited by: Jiang X; Hwang JN

Source: TENTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2018)  Book Series: Proceedings of SPIE  Volume: 10806  Article Number: UNSP 108065J  DOI: 10.1117/12.2503036  Published: 2018  

Abstract: A non-contact blood pressure measurement method was proposed and achieved based on theoretical deduction of the relationship among pulse transit time, heart rate and blood pressure. Pulse transit time was estimated using heart rate and phase difference of pulse wave which were obtained from color videos through imaging photoplethysmographic. Parameters of the functional relationship were determined through curve fitting with experiment data. Error analysis was processed with an Omron electronic sphygmomanometer as reference to verify the accuracy of blood pressure obtained using the proposed method. The error of acquired systolic blood pressure varied from -2.40 to 3.43 percent. The error of acquired diastolic blood pressure varied from -6.88 to 5.26 percent.

Accession Number: WOS:000452819600197

Conference Title: 10th International Conference on Digital Image Processing (ICDIP)

Conference Date: MAY 11-14, 2018

Conference Location: E China Normal Univ, Shanghai, PEOPLES R CHINA

Conference Sponsors: Shanghai Key Lab Multidimens Informat Proc, Int Assoc Comp Sci & Informat Technol

Conference Host: E China Normal Univ

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-2200-5

Record 20 of 170

Title: Bibliometric trend analysis on global image processing research

Author(s): Chen, SC (Chen Songcong); Wang, YJ (Wang Yajun); Qiu, S (Qiu Shi)

Edited by: Guina M; Gong H; Lu J; Liu D

Source: OPTICAL SENSING AND IMAGING TECHNOLOGIES AND APPLICATIONS  Book Series: Proceedings of SPIE  Volume: 10846  Article Number: UNSP 1084636  DOI: 10.1117/12.2505675  Published: 2018  

Abstract: In this work, bibliometric analysis was applied to evaluate developing trend of image research. The data were collected from 2013 to 2017 from the Science Citation Index database. The published papers from different subjects, journals, authors, countries and keywords distributed in several aspects of research topics proved that image research increased rapidly over recent five years.

Accession Number: WOS:000455303600111

Conference Title: Conference on Optical Sensing and Imaging Technologies and Applications / International Symposium on Optoelectronic Technology and Application (OTA) / Annual Conference of the Chinese-Society-for-Optical-Engineering (CSOE)

Conference Date: MAY 22-24, 2018

Conference Location: Beijing, PEOPLES R CHINA

Conference Sponsors: Chinese Soc Opt Engn, Chinese Soc Astronaut, Photoelectron Technol Comm, CHIA, Photoelectron Industrializat Comm, CHIA, Dept Cooperat & Coordinat Ind Acad & Res, Sci & Technol Low Light Level Night Vis Lab, Chinese Acad Engn, Div Informat & Elect Engn

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-2335-4

Record 21 of 170

Title: Image Motion Compensation Method On Reflector Multi Degree Of Freedom Of Aerial Cameras

Author(s): Chen, WN (Chen Weining); Gao, B (Gao Bo); Peng, JW (Peng Jianwei); Mei, C (Mei Chao); Zhang, HW (Zhang Hongwei); Fei, JQ (Fei Jiaqi); Shi, K (Shi Kui); Zhang, GD (Zhang Guangdong)

Edited by: Guina M; Gong H; Lu J; Liu D

Source: OPTICAL SENSING AND IMAGING TECHNOLOGIES AND APPLICATIONS  Book Series: Proceedings of SPIE  Volume: 10846  Article Number: UNSP 108460K  DOI: 10.1117/12.2503870  Published: 2018  

Abstract: When the aerial camera photograph, a variety of image motion is caused by prior to the flight, pitching, rolling and vibration and other reasons, thus leading to the existence of relative motion of the illuminated objects in the focal plane of a photosensitive medium, the image is blured, and the imaging quality of the camera is seriously affected. Various causes of image motion and effects on image is analyzed by this paper, the necessity of image motion compensation is expounded. By analyzing existed methods of image motion compensation, and on this basis, a new multi degree of freedom motion compensation method is designed, through the parallel mechanism motion, for image motion compensation by optical image motion compensation principle, a variety of airborne camera to take pictures of the image motion also can be eliminated.

Accession Number: WOS:000455303600018

Conference Title: Conference on Optical Sensing and Imaging Technologies and Applications / International Symposium on Optoelectronic Technology and Application (OTA) / Annual Conference of the Chinese-Society-for-Optical-Engineering (CSOE)

Conference Date: MAY 22-24, 2018

Conference Location: Beijing, PEOPLES R CHINA

Conference Sponsors: Chinese Soc Opt Engn, Chinese Soc Astronaut, Photoelectron Technol Comm, CHIA, Photoelectron Industrializat Comm, CHIA, Dept Cooperat & Coordinat Ind Acad & Res, Sci & Technol Low Light Level Night Vis Lab, Chinese Acad Engn, Div Informat & Elect Engn

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-2335-4

Record 22 of 170

Title: PixelLink: Detecting Scene Text via Instance Segmentation

Author(s): Deng, D (Deng, Dan); Liu, H (Liu, Haifeng); Li, XL (Li, Xuelong); Cai, D (Cai, Deng)

Book Group Author(s): AAAI

Source: THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE  Book Series: AAAI Conference on Artificial Intelligence  Pages: 6773-6780  Published: 2018  

Abstract: Most state-of-the-art scene text detection algorithms are deep learning based methods that depend on bounding box regression and perform at least two kinds of predictions: text/nontext classification and location regression. Regression plays a key role in the acquisition of bounding boxes in these methods, but it is not indispensable because text/non-text prediction can also be considered as a kind of semantic segmentation that contains full location information in itself. However, text instances in scene images often lie very close to each other, making them very difficult to separate via semantic segmentation. Therefore, instance segmentation is needed to address this problem. In this paper, PixelLink, a novel scene text detection algorithm based on instance segmentation, is proposed. Text instances are first segmented out by linking pixels within the same instance together. Text bounding boxes are then extracted directly from the segmentation result without location regression. Experiments show that, compared with regression-based methods, PixelLink can achieve better or comparable performance on several benchmarks, while requiring many fewer training iterations and less training data.

Accession Number: WOS:000485488906105

Conference Title: 32nd AAAI Conference on Artificial Intelligence / 30th Innovative Applications of Artificial Intelligence Conference / 8th AAAI Symposium on Educational Advances in Artificial Intelligence

Conference Date: FEB 02-07, 2018

Conference Location: New Orleans, LA

Conference Sponsors: AAAI

Author Identifiers:

ISSN: 2159-5399

eISSN: 2374-3468

ISBN: 978-1-57735-800-8

Record 23 of 170

Title: Manufacturing and Testing of Surface Modified Silicon Carbide Aspheric Mirror

Author(s): Ding, JT (Ding Jiao Teng); Fan, XW (Fan Xue Wu); Pang, ZH (Pang Zhi Hai); Feng, LJ (Feng Liang Jie); Chen, QF (Chen Qin Fang); Ma, Z (Ma Zhen)

Edited by: Ma X; Fan B; Wan Y; Russell A; Luo X

Source: 9TH INTERNATIONAL SYMPOSIUM ON ADVANCED OPTICAL MANUFACTURING AND TESTING TECHNOLOGIES: LARGE MIRRORS AND TELESCOPES  Book Series: Proceedings of SPIE  Volume: 10837  Article Number: UNSP 108370V  DOI: 10.1117/12.2504853  Published: 2018  

Abstract: The manufacturing and testing of a surface modified silicon carbide mirror with a bowl-shaped structure was introduced. The entire process flow includes pre-modification silicon carbide substrate processing, silicon carbide substrate surface modification, and silicon modified layer processing. Firstly, before the modification, the conventional processing method of silicon carbide was used, and the effect of the support form on the figure was eliminated by multiple direction rotation testing. At the same time, the self-aligned compensation cross-test was completed and the accuracy of the aspherical surface coefficient was verified. In addition, the polishing process of the silicon modified layer material was studied, and the optimum process parameters suitable for polishing the silicon modified layer material were found out. Based on the above experiments, the modified optical processing adopts a combination of two kinds of polishing technology: flexible chemical mechanical polishing (FCMP) and ion beam figuring (IBF). The surface roughness and surface finish of silicon modified layer are improved by flexible chemical mechanical polishing technology. The high figure accuracy of silicon modified layer is achieved finally by ion beam figuring technology. Finally, the final result of the mirror after IBF is: the RMS values of the figure and roughness in the phi 450 mm aperture is 0.01 lambda (lambda= 632.8 nm) and 0.52 nm. The mirror's processing results fully meet the design specifications.

Accession Number: WOS:000459720200030

Conference Title: 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies - Large Mirrors and Telescopes

Conference Date: JUN 26-29, 2018

Conference Location: Chengdu, PEOPLES R CHINA

Conference Sponsors: Chinese Acad Sci, Inst Opt & Elect, Chinese Opt Soc, SPIE

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-2317-0

Record 24 of 170

Title: A Low Light SCMOS Imaging System Based on FPGA

Author(s): Dong, M (Dong, Mao); Leng, HB (Leng Hanbing); Wei, WP (Wei Wenpeng); Li, HB (Li Hongbo); Gao, XH (Gao, Xiaohui)

Edited by: Jiang X; Hwang JN

Source: TENTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2018)  Book Series: Proceedings of SPIE  Volume: 10806  Article Number: UNSP 108063O  DOI: 10.1117/12.2503122  Published: 2018  

Abstract: This paper proposed an imaging system based on Fairchild's low-illumination SCMOS detector CIS2521F and ALTERA's Cyclone IV E EP4CE40U19I7N FPGA, which has the characteristics of high sensitivity and low noise. Based on its electronic parameters, a real time imaging system is developed. The hardware system structure of the imaging system mainly consists of a SCMOS image sensor, a programmable gate array (FPGA), a driving circuit of a combination of DDR2 and a Camera Link transfer circuit. The software system consists of SCMOS initialization module, automatic exposure control module and image enhancement module, which has the capabilities of automatic exposure control and low-light image enhancement.
Automatic exposure control module is proposed based on the image gray statistical algorithm. It is used to choose the best exposure time in the complex light situation. The image enhancement module is proposed based on an improved Dual platform histogram enhancement algorithm. The improved histogram equalization algorithm can avoid many image issues, such as over-enhancement, uniform area noise amplification, bleaching etc. The details of the image are preserved well and the signal to noise ratio of the image is improved by this method. The imaging results show that the system is working normally. And the imaging quality meets the expected requirements.

Accession Number: WOS:000452819600131

Conference Title: 10th International Conference on Digital Image Processing (ICDIP)

Conference Date: MAY 11-14, 2018

Conference Location: E China Normal Univ, Shanghai, PEOPLES R CHINA

Conference Sponsors: Shanghai Key Lab Multidimens Informat Proc, Int Assoc Comp Sci & Informat Technol

Conference Host: E China Normal Univ

Author Identifiers:

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-2200-5

Record 25 of 170

Title: Design of a mid-wavelength infrared optical system based on high frame rate measuring

Author(s): Duan, J (Duan Jing); Liu, K (Liu Kai); Shan, QS (Shan Qiusha); Yan, PP (Yan Peipei); Jiang, K (Jiang Kai)

Edited by: Chu J; Liu W; Jiang H

Source: FIFTH CONFERENCE ON FRONTIERS IN OPTICAL IMAGING TECHNOLOGY AND APPLICATIONS (FOI 2018)  Book Series: Proceedings of SPIE  Volume: 10832  Article Number: UNSP 1083213  DOI: 10.1117/12.2508315  Published: 2018  

Abstract: In order to effectively improve the frame of mid-wavelength infrared measuring system, based on a 320 x256 cooled staring focal plane array(FPA) detector, pixel size 30 mu mx30 mu m, a special optical system combined with time-sharing exposure technology was designed. In this paper, the working wavelength is 3 mu m similar to 5 mu m, the temperature range is -30 degrees C similar to 40 degrees C, this system can realize 200mm focal length, the F-number is 4 and the full field of view is 3.44 degrees. A re-imaging refractive system was adopted in this designed optical system consists of main optics and projection components. First of all, the working principle of the measuring system was introduced in detail. Secondly, on the basis of variety of the distance and temperature, a focusing lens was presented in this system to adjust to produce a clear image. Last but not the least, to improve image quality and environment adaptability, the analysis of temperature change and narcissus effect was described particularly. The design results prove that at the spatial frequency of 17 lp/mm, the MTF of the optical system is greater than 0.58(the axis MTF of the optical is greater than 0.65), the system can offer a high resolution and excellent images. The measuring system implements 400fps measuring system consisting of four 100fps detectors.

Accession Number: WOS:000454579900037

Conference Title: 5th Conference on Frontiers in Optical Imaging Technology and Applications (FOI)

Conference Date: JUL 25-27, 2018

Conference Location: Hefei, PEOPLES R CHINA

Conference Sponsors: Chinese Soc Opt Engn, Chinese Soc Opt Engn, Photoelectron Technol Comm, Key Lab Polarizat Imaging Detect Technol, Chinese Acad Engn, Natl Nat Sci Fdn China

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-2290-6

Record 26 of 170

Title: Design of a long focal length mid-wavelength infrared optical system

Author(s): Duan, J (Duan Jing); Zhang, ZP (Zhang Zhanpeng); Liu, K (Liu Kai); Shan, QS (Shan Qiusha); Jiang, K (Jiang Kai); Yan, PP (Yan Peipei)

Edited by: Guofan J; Guangjun Z

Source: FOURTH SEMINAR ON NOVEL OPTOELECTRONIC DETECTION TECHNOLOGY AND APPLICATION  Book Series: Proceedings of SPIE  Volume: 10697  Article Number: UNSP 106971O  DOI: 10.1117/12.2314992  Published: 2018  

Abstract: Based on a 640x512 cooled staring focal plane array(FPA) detector, pixel size 15 mu mx15 mu m, a long focal length mid-wavelength infrared optical system was designed. In this paper, the working wavelength is 3 mu m similar to 5 mu m, the temperature range is -30 degrees C similar to+50 degrees C, this system can realize 1000mm focal length, the F-number is 4, the full field of view is 0.70 degrees, satisfy 100% cold shield efficiency. A re-imaging refractive system was adopted in this designed optical system consists of a main objective group and a projection group. First of all, the structural selection and the initial parameter calculation were introduced. Secondly, on the basis of variety of the temperature, a focusing len was presented in this system to adjust to produce a clear image. Last but not the least, to improve image quality and environment adaptability, the analysis of temperature change and ghost image were described particularly. The design results prove that at the spatial frequency of 33 lp/mm, the axis MTF of the optical system is greater than 0.35, the system can offer a high resolution and excellent images, and it has the advantages of good adaptability, simple structure, easy to adjust, and high transmittance.

Accession Number: WOS:000435407700056

Conference Title: 4th Seminar on Novel Optoelectronic Detection Technology and Application

Conference Date: OCT 24-26, 2017

Conference Location: Nanjing, PEOPLES R CHINA

Conference Sponsors: Chinese Soc Opt Engn, Chinese Soc Astronaut, Photoelectron Technol Comm, Chinese Acad Engn, Div Informat & Elect Engn, Sci & Technol Low Light Level Night Vis Lab, N Night Vis Technol Co Ltd Corp

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-1948-7

Record 27 of 170

Title: Rotationally asymmetric figure measurement of optical flat using rotational shear phase measuring deflectometry

Author(s): E, KW (E, Kewei); Li, DH (Li, Dahai); Zhao, JK (Zhao, Jianke); Xue, X (Xue, Xun); Li, J (Li, Jing); Li, K (Li, Kun); Liu, SK (Liu, Shangkuo); Wang, ZF (Wang, Zhengfeng); YanZhou (YanZhou)

Edited by: Lv Y

Source: GLOBAL INTELLIGENCE INDUSTRY CONFERENCE (GIIC 2018)  Book Series: Proceedings of SPIE  Volume: 10835  Article Number: UNSP 108350H  DOI: 10.1117/12.2504666  Published: 2018  

Abstract: Absolute measurement with Phase Measuring Deflectometry (PMD) is gaining importance in industry, but the accuracy of deflectometry metrology is strongly influenced by the level of calibration. In order to improve the accuracy of the PMD to a level where it competes with interferometry, a reference calibration process is commonly carried out to carefully calibrate the systematic errors. The systematic errors obtained by measuring a high quality reference surface can be subtracted from the measurement of a test surface to get its actual surface, however, it could introduce the surface error of reference into the measurement. To alleviate this problem, this paper introduces a technique named "rotational shear phase measuring deflectometry", this technique have the ability of removing the rotationally asymmetric systematic errors from the test surface without using a reference surface. The validity of this technique has been demonstrated by simulation and our experimental results.

Accession Number: WOS:000452819500015

Conference Title: Global Intelligent Industry Conference (GIIC)

Conference Date: MAY 22-24, 2018

Conference Location: Beijing, PEOPLES R CHINA

Conference Sponsors: Chinese Acad Engn, Div Informat & Elect Engn, Chinese Soc Opt Engn, Beijing Econ Technol Dev Area

Author Identifiers:

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-2300-2

Record 28 of 170

Title: A Study on Classification of Mineral Pigments based on Spectral Angle Mapper and Decision Tree

Author(s): Fan, C (Fan, Cheng); Zhang, PC (Zhang, Pengchang); Wang, S (Wang, Shuang); Hu, BL (Hu, Bingliang)

Edited by: Jiang X; Hwang JN

Source: TENTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2018)  Book Series: Proceedings of SPIE  Volume: 10806  Article Number: UNSP 108065Z  DOI: 10.1117/12.2503088  Published: 2018  

Abstract: Mineral pigments are widely used in the ancient Chinese painting. Classification and identification of mineral pigments are important for cultural heritages conservation. As a non-destructive method, hyperspectral classification is based on the knowledge that different mineral pigments have distinct reflection spectra. This study acquired the hyperspectral images of 38 mineral pigments and established a reflection spectral library. Then Spectral Angle Mapper (SAM) was used to classify the test data and 0.20 was selected as the optimal threshold. For pigments having similar color and spectra, SAM was unable to classify them correctly. Therefore, decision tree, a machine learning method, was applied to the classification of the pigments misclassified by SAM. For each pigment, 7500 samples were randomly selected as training data and 2500 samples were selected as test data. Though the ID3 algorithm, a decision tree for pigment classification was learned. Then test data was classified by the decision tree. Compared with SAM, the accuracy of classification observed from decision tree was obviously improved. For most pigments, the accuracy of decision tree reached 94%. The results revealed that the SAM combined with decision tree could effectively achieve a discrimination of all the 38 mineral pigments in the experiment, thus providing a new approach for mineral pigments classification.

Accession Number: WOS:000452819600213

Conference Title: 10th International Conference on Digital Image Processing (ICDIP)

Conference Date: MAY 11-14, 2018

Conference Location: E China Normal Univ, Shanghai, PEOPLES R CHINA

Conference Sponsors: Shanghai Key Lab Multidimens Informat Proc, Int Assoc Comp Sci & Informat Technol

Conference Host: E China Normal Univ

Author Identifiers:

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-2200-5

Record 29 of 170

Title: Fully Utilizing High Power Diode Lasers by Synergizing Diode Laser Light Sources and Beam Shaping Micro-Optics

Author(s): Fan, YM (Fan, Yingmin); Wang, JW (Wang, Jingwei); Cai, L (Cai, Lei); Mitra, T (Mitra, Thomas); Hauschild, D (Hauschild, Dirk); Zah, CE (Zah, Chung-En); Liu, XS (Liu, Xingsheng)

Edited by: Glebov AL; Leisher PO

Source: COMPONENTS AND PACKAGING FOR LASER SYSTEMS IV  Book Series: Proceedings of SPIE  Volume: 10513  Article Number: UNSP 105130H  DOI: 10.1117/12.2293612  Published: 2018  

Abstract: High power diode lasers (HPDLs) offer the highest wall-plug efficiency, highest specific power (power-to-weight ratio), arguably the lowest cost and highest reliability among all laser types. However, the poor beam quality of commercially HPDLs is the main bottleneck limiting their direct applications requiring high brightness at least in one dimension. In order to expand the applications of HPDLs, beam shaping and optical design are essential. In this work, we report the recent progresses on maximizing applications of HPDLs by synergizing diode laser light source and beam shaping micro-optics. Successful examples of matching of diode laser light sources and beam shaping micro-optics driving new applications are presented.

Accession Number: WOS:000432464600008

Conference Title: Conference on Components and Packaging for Laser Systems IV

Conference Date: JAN 30-FEB 01, 2018

Conference Location: San Francisco, CA

Conference Sponsors: SPIE

Author Identifiers:

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-1512-0; 978-1-5106-1511-3

Record 30 of 170

Title: GAN and DCN Based Multi-step Supervised Learning for Image Semantic Segmentation

Author(s): Fang, J (Fang, Jie); Cao, XQ (Cao, Xiaoqian)

Edited by: Lai JH; Liu CL; Chen X; Zhou J; Tan T; Zheng N; Zha H

Source: PATTERN RECOGNITION AND COMPUTER VISION, PT II  Book Series: Lecture Notes in Computer Science  Volume: 11257  Pages: 28-40  DOI: 10.1007/978-3-030-03335-4_3  Published: 2018  

Abstract: Image semantic segmentation contains two sub-tasks, segmenting and labeling. However, the recent fully convolutional network (FCN) based methods often ignore the first sub-task and consider it as a direct labeling one. Even though these methods have achieved competitive performances, they obtained spatially fragmented and disconnected outputs. The reason is that, pixel-level relationships inside the deepest layers become inconsistent since traditional FCNs do not have any explicit pixel grouping mechanism. To address this problem, a multi-step supervised learning method, which contains image-level supervised learning step and pixel-level supervised learning step, is proposed. Specifically, as for the visualized result of image semantic segmentation, it is actually an image-to-image transformation problem, from RGB domain to category label domain. The recent conditional generative adversarial network (cGAN) has achieved significant performance for image-to-image generation task, and the generated image remains good regional connectivity. Therefore, a cGAN supervised by RGB-category label map is used to obtain a coarse segmentation mask, which avoids generating disconnected segmentation results to a certain extent. Furthermore, an interaction information (II) loss term is proposed for cGAN to remain the spatial structure of the segmentation mask. Additionally, dilated convolutional networks (DCNs) have achieved significant performance in object detection field, especially for small objects because of its special receptive field settings. Specific to image semantic segmentation, if each pixel is seen as an object, this task can be transformed to object detection. In this case, combined with the segmentation mask from cGAN, a DCN supervised by the pixel-level label is used to finalize the category recognition of each pixel in the image. The proposed method achieves satisfactory performances on three public and challenging datasets for image semantic segmentation.

Accession Number: WOS:000846888700003

Conference Title: 1st Chinese Conference on Pattern Recognition and Computer Vision (PRCV)

Conference Date: NOV 23-26, 2018

Conference Location: Guangzhou, PEOPLES R CHINA

ISSN: 0302-9743

eISSN: 1611-3349

ISBN: 978-3-030-03335-4; 978-3-030-03334-7

Record 31 of 170

Title: A Noise-Resistant Stereo Matching Algorithm Integrating Regional Information

Author(s): Feng, HH (Feng Huahui); Zhang, G (Zhang Geng); Zhang, X (Zhang Xin); Hu, BL (Hu Bingliang)

Book Group Author(s): IEEE

Source: 2018 IEEE 3RD INTERNATIONAL CONFERENCE ON IMAGE, VISION AND COMPUTING (ICIVC)  Pages: 952-955  Published: 2018  

Abstract: Focusing on the problem existing in stereo matching that low-SNR image, such as images collected at night, we propose a novel matching framework based on semi-global matching algorithm and AD-Census. This algorithm extends the original algorithms in two ways. First, image segmentation information as an additional constraint is added that solve the problem of incomplete path and improve the accuracy of cost calculation. Second, the matching cost volume is calculated with AD-SoftCensus measure that minimizes the impact of noise on the quality of matching by changing the pattern of census descriptor from binary to trinary. Results of Middlebury standard test data show that the algorithm significantly improves the precision of matching. In addition, a low-light binocular platform is built to test our method in night environment. Results show the disparity maps are more accurate compared to previous methods.

Accession Number: WOS:000448170000185

Conference Title: 3rd IEEE International Conference on Image, Vision and Computing (ICIVC)

Conference Date: JUN 27-29, 2018

Conference Location: Chongqing, PEOPLES R CHINA

Conference Sponsors: IEEE, Chongqing Univ Posts & Telecommunicat

ISBN: 978-1-5386-4991-6

Record 32 of 170

Title: Design of High - reliability and HD Video Remote Surveillance System

Author(s): Feng, J (Feng, Jia); Yang, L (Yang, Lei); Bian, H (Bian, He); Wang, H (Wang, Hua); Zhang, HF (Zhang, Haifeng); Huang, HM (Huang, Huimin); Liu, LQ (Liu, Liqiang)

Edited by: Jiang X; Hwang JN

Source: TENTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2018)  Book Series: Proceedings of SPIE  Volume: 10806  Article Number: UNSP 1080647  DOI: 10.1117/12.2503108  Published: 2018  

Abstract: Remote video monitoring has become increasingly important for monitoring the security of purpose locations. Most of the surveillance system needs high-definition (HD) video. Multi-channel HD video data real-time transmission and data transmission security are two of the factors restricting the development of remote monitoring system. To solve this problem, this paper presents a new high-definition video surveillance system program, high-definition camera video by video relay input to high-definition video encoder, high-definition video encoder for data compression, compressed data input HD video decoder after long-distance transmission by Gigabit Ethernet, high-definition video decoder to decode the compressed data, then the video data input DVR after decompression, the video data may be stored and can be displayed in real time. A balanced algorithm is used to adapt transmission bandwidth and a iterative algorithm is used to smooth out random packets loss rate. After testing, the system can transmits five hundred compressed video data and have excellent expansibility; data transmission is very secure because of independent Ethernet and encryption algorithm.

Accession Number: WOS:000452819600150

Conference Title: 10th International Conference on Digital Image Processing (ICDIP)

Conference Date: MAY 11-14, 2018

Conference Location: E China Normal Univ, Shanghai, PEOPLES R CHINA

Conference Sponsors: Shanghai Key Lab Multidimens Informat Proc, Int Assoc Comp Sci & Informat Technol

Conference Host: E China Normal Univ

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-2200-5

Record 33 of 170

Title: Design of SiC mirror subsystem of a space-based astronomy telescope

Author(s): Feng, LJ (Feng Liang-jie); Ding, JT (Ding Jiao-teng); Zou, GY (Zou Gang-Yi)

Edited by: Ma X; Fan B; Wan Y; Russell A; Luo X

Source: 9TH INTERNATIONAL SYMPOSIUM ON ADVANCED OPTICAL MANUFACTURING AND TESTING TECHNOLOGIES: LARGE MIRRORS AND TELESCOPES  Book Series: Proceedings of SPIE  Volume: 10837  Article Number: UNSP 108370A  DOI: 10.1117/12.2504931  Published: 2018  

Abstract: A F450mm primary mirror subsystem of a space-based astronomy telescope was designed with mass, optical surface distortion and reflectivity requirement. The open-back primary mirror was made of pressure-less sintering silicon carbide, light-weighted at a ratio of approximately 70%. Three side supporting invar flexure bipods were designed to minimize the assembling stress and the thermal stress. The high reflection was abtained from the optical surface cementite. The mirror weighted 7kg and the reflectivity was 97% after optical polishing. The mirror subsystem was precisely assembled under the strict technical condition. The optical test with interferometer showed that the optical surface distortion is less than 1/ 40. rms, which met the critical optical requirements for the primary mirror of the space-based astronomy telescope.

Accession Number: WOS:000459720200009

Conference Title: 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies - Large Mirrors and Telescopes

Conference Date: JUN 26-29, 2018

Conference Location: Chengdu, PEOPLES R CHINA

Conference Sponsors: Chinese Acad Sci, Inst Opt & Elect, Chinese Opt Soc, SPIE

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-2317-0

Record 34 of 170

Title: A High-Precision Institutional Design and Mechanical Performance Analysis of the Medium-Wave Infrared Continuous Zoom

Author(s): Gao, B (Gao Bo); Chang, SS (Chang Sansan); Bian, H (Bian He); Chen, WN (Chen Weining); Zhao, Y (Zhao Yue); Mei, C (Mei Chao); Fan, EL (Fan Erlei); Zhang, GP (Zhang Gaopeng); Zhang, GD (Zhang Guangdong)

Edited by: Guina M; Gong H; Lu J; Liu D

Source: OPTICAL SENSING AND IMAGING TECHNOLOGIES AND APPLICATIONS  Book Series: Proceedings of SPIE  Volume: 10846  Article Number: UNSP 108460J  DOI: 10.1117/12.2503866  Published: 2018  

Abstract: Compared with visible light imaging systems, the infrared imaging systems have the advantages of strong fogging ability, especially in the high-altitude water vapor and haze environment. and the medium-wave infrared cooling detectors have the advantage of low cost compared to long waves. Therefore, in recent years, The demand for medium-wave infrared continuous zoom systems is increasing. In this design, based on the medium-wave infrared optical system, and summarizing the advantages and disadvantages of the previous zoom structure, a zoom mechanism in the form of a cam and guide was proposed. The cam mechanism, zoom guide mechanism, and compensation guide mechanism were described in detail in this paper. The detailed analysis of the torque demand during zooming was performed. Ansys workbench was used to analyze the main components of the zoom mechanism and the stray light of the system was proposed. The adjustment results show that this kind of structure can realize medium-wave infrared continuous zooming, and the the amount of optical axis shaking during zooming is less than 0.3mrad, which meets the design requirements, and the proposed stray light suppression method effectively suppresses the system's spurious radiation and improves the lens's imaging quality; impact and vibration simulation show that the strength and stiffness of the structure meet the requirements of the mechanical environment, and the imaging system has stable performance.

Accession Number: WOS:000455303600017

Conference Title: Conference on Optical Sensing and Imaging Technologies and Applications / International Symposium on Optoelectronic Technology and Application (OTA) / Annual Conference of the Chinese-Society-for-Optical-Engineering (CSOE)

Conference Date: MAY 22-24, 2018

Conference Location: Beijing, PEOPLES R CHINA

Conference Sponsors: Chinese Soc Opt Engn, Chinese Soc Astronaut, Photoelectron Technol Comm, CHIA, Photoelectron Industrializat Comm, CHIA, Dept Cooperat & Coordinat Ind Acad & Res, Sci & Technol Low Light Level Night Vis Lab, Chinese Acad Engn, Div Informat & Elect Engn

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-2335-4

Record 35 of 170

Title: Underwater 3D reconstruction based on multi-view stereo

Author(s): Gu, FF (Gu, Feifei); Zhao, J (Zhao, Juan); Xu, P (Xu, Pei); Huang, SL (Huang, Shulan); Zhang, GP (Zhang, Gaopeng); Song, Z (Song, Zhan)

Edited by: Li X; Wu L; Yao J; Yin H; Zhang R; Zhu Z

Source: OCEAN OPTICS AND INFORMATION TECHNOLOGY  Book Series: Proceedings of SPIE  Volume: 10850  Article Number: UNSP 108500F  DOI: 10.1117/12.2505296  Published: 2018  

Abstract: 3D measurement of underwater targets could recover 3D morphology of objects/scenes in water, which has extensive application prospects in the fields of submarine map drawing, underwater resource exploration, and marine archaeology et al. 3D reconstruction based on stereoscopic vision is playing a more and more important role in the field of measurement due to its incomparable advantages, such as high automation, rapid accuracy and non-contact. However, its application in underwater target detection is limited by the complex underwater environment, the absorption and scattering of light in the water and so on, which will seriously affect the quality of the image collection. In this paper, a 3D reconstruction method of underwater target based on multi view stereo vision technology was studied. A 3D profilometry system which works underwater was set up. The collection of multi-view image data is completed by a single camera and a rotating device. Firstly, camera's back projection model is used to calibrate the motion and parameters of the underwater vision system. Secondly, the underwater target is fixed on the rotating device, and a series of images under different viewpoints are collected. Then, feature detection and matching were carried out, and dense surface point clouds were generated by several steps of expansion and filtering operations. Finally, based on the generated dense point cloud, the 3D geometric mesh model of the target is obtained by using the Poisson reconstruction method. Color and texture are fused into the 3D mesh model to get the target with high fidelity.

Accession Number: WOS:000455766200014

Conference Title: Conference on Ocean Optics and Information Technology / International Symposium on Optoelectronic Technology and Application (OTA)

Conference Date: MAY 22-24, 2018

Conference Location: Beijing, PEOPLES R CHINA

Conference Sponsors: Chinese Soc Opt Engn, Chinese Soc Astronaut, Photoelectron Technol Comm, CHIA, Photoelectron Industrializat Comm, CHIA, Dept Cooperat & Coordinat Ind Acad & Res, Sci & Technol Low Light Level Night Vis Lab, Chinese Acad Engn, Div Informat & Elect Engn

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-2343-9

Record 36 of 170

Title: Surface passivation of 1550nm AlxInyAsSb avalanche photodiode

Author(s): Guo, CY (Guo, Chunyan); Lv, YX (Lv, Yuexi); Zheng, DN (Zheng, Da'nong); Sun, YY (Sun, Yaoyao); Jiang, Z (Jiang, Zhi); Jiang, DW (Jiang, Dongwei); Wang, GW (Wang, Guowei); Xu, YQ (Xu, Yingqiang); Wang, T (Wang, Tao); Tian, JS (Tian, Jinshou); Wu, ZX (Wu, Zhaoxin); Niu, ZC (Niu, Zhichuan)

Edited by: Zhang X; Li B; Yu C; Zhang X

Source: OPTOELECTRONIC DEVICES AND INTEGRATION VII  Book Series: Proceedings of SPIE  Volume: 10814  Article Number: 1081416  DOI: 10.1117/12.2500523  Published: 2018  

Abstract: We report three kinds of surface passivation for AlxInyAsSb APD, which are SiO2, SiO2 after sulfuration and SU8 2005 treatments. A good sidewall profile of mesas were etch by Inductively Coupled Plasma (ICP) to 2.6 mu m depth. The order of dark current for device with SU8 passivation is less than -12 under the temperature of 100K. Dark current and photocurrent increase linearly with diameter of mesa. Also, the devices with different passivation methods produce photocurrent excited by incident power. The measurements are consistent with CV modeling and electric field simulations.

Accession Number: WOS:000452640200027

Conference Title: Conference on Optoelectronic Devices and Integration VII

Conference Date: OCT 11-13, 2018

Conference Location: Beijing, PEOPLES R CHINA

Conference Sponsors: SPIE, Chinese Opt Soc

Author Identifiers:

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-2227-2

Record 37 of 170

Title: Deep Cross-Modal Retrieval for Remote Sensing Image and Audio

Author(s): Guo, M (Guo Mao); Yuan, Y (Yuan Yuan); Lu, XQ (Lu Xiaoqiang)

Book Group Author(s): IEEE

Source: 2018 10TH IAPR WORKSHOP ON PATTERN RECOGNITION IN REMOTE SENSING (PRRS)  Book Series: IAPR Workshop on Pattern Recognition in Remote Sensing  Published: 2018  

Abstract: Remote sensing image retrieval has many important applications in civilian and military fields, such as disaster monitoring and target detecting. However, the existing research on image retrieval, mainly including to two directions, text based and content based, cannot meet the rapid and convenient needs of some special applications and emergency scenes. Based on text, the retrieval is limited by keyboard inputting because of its lower efficiency for some urgent situations and based on content, it needs an example image as reference, which usually does not exist. Yet speech, as a direct, natural and efficient human-machine interactive way, can make up these shortcomings. Hence, a novel cross-modal retrieval method for remote sensing image and spoken audio is proposed in this paper. We first build a large-scale remote sensing image dataset with plenty of manual annotated spoken audio captions for the cross-modal retrieval task. Then a Deep Visual-Audio Network is designed to directly learn the correspondence of image and audio. And this model integrates feature extracting and multi-modal learning into the same network. Experiments on the proposed dataset verify the effectiveness of our approach and prove that it is feasible for speech-to-image retrieval.

Accession Number: WOS:000467742100039

Conference Title: 10th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS)

Conference Date: AUG 19-20, 2018

Conference Location: Beijing, PEOPLES R CHINA

Conference Sponsors: Int Assoc Pattern Recognit

Author Identifiers:

ISSN: 2377-0198

ISBN: 978-1-5386-8479-5

Record 38 of 170

Title: LOCALITY-BASED DISCRIMINANT FEATURE SELECTION WITH TRACE RATIO

Author(s): Guo, MH (Guo, Muhan); Yang, S (Yang, Sheng); Nie, FP (Nie, Feiping); Li, XL (Li, Xuelong)

Book Group Author(s): IEEE

Source: 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)  Book Series: IEEE International Conference on Image Processing ICIP  Pages: 3373-3377  Published: 2018  

Abstract: Feature selection plays an important role to select the informative and valuable features especially in high-dimensional data. However, some conventional feature selection methods select the features according to a feature subset score, which are often time-consuming, not quite robust to noise and neglecting the local data structure. To address this problem, we propose a novel feature selection approach, namely locality-based discriminant feature selection with trace ratio (LDFS), which can perform local data structure learning, and feature selection simultaneously. Furthermore, the proposed approach is robust to data noise and can pick out genuinely valuable features. In the end, experimental results on synthetic and real-world datasets demonstrate the effectiveness of the proposed method.

Accession Number: WOS:000455181503098

Conference Title: 25th IEEE International Conference on Image Processing (ICIP)

Conference Date: OCT 07-10, 2018

Conference Location: Athens, GREECE

Conference Sponsors: Inst Elect & Electron Engneers, IEEE Signal Processing Soc

Author Identifiers:

ISSN: 1522-4880

ISBN: 978-1-4799-7061-2

Record 39 of 170

Title: SELF-WEIGHTED ADAPTIVE LOCALITY DISCRIMINANT ANALYSIS

Author(s): Guo, MH (Guo, Muhan); Nie, FP (Nie, Feiping); Li, XL (Li, Xuelong)

Book Group Author(s): IEEE

Source: 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)  Book Series: IEEE International Conference on Image Processing ICIP  Pages: 3378-3382  Published: 2018  

Abstract: The linear discriminant analysis (LDA) is a popular technique for dimensionality reduction, nevertheless, when the input data lie in a complicated geometry distribution, LDA tends to obtain undesired results since it neglects the local structure of data. Though plenty of previous works devote to capturing the local structure, they have the same weakness that the neighbors found in the original data space may be not reliable, especially when noise is large. In this paper, we propose a novel supervised dimensionality reduction approach, Self-weighted Adaptive Locality Discriminant Analysis (SALDA), which aims to find a representative low-dimensional subspace of data. Compared with LDA and its variants, SALDA explores the neighborhood relationship of data points in the desired subspace effectively. Besides, the weights between within-class data points are learned automatically without setting any additional parameter. Extensive experiments on synthetic and real-world datasets show the effectiveness of the proposed method.

Accession Number: WOS:000455181503099

Conference Title: 25th IEEE International Conference on Image Processing (ICIP)

Conference Date: OCT 07-10, 2018

Conference Location: Athens, GREECE

Conference Sponsors: Inst Elect & Electron Engneers, IEEE Signal Processing Soc

Author Identifiers:

ISSN: 1522-4880

ISBN: 978-1-4799-7061-2

Record 40 of 170

Title: Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information

Author(s): Guo, MH (Guo, Muhan); Zhang, R (Zhang, Rui); Nie, FP (Nie, Feiping); Li, XL (Li, Xuelong)

Edited by: Cuzzocrea A; Allan J; Paton N; Srivastava D; Agrawal R; Broder A; Zaki M; Candan S; Labrinidis A; Schuster A; Wang H

Source: CIKM'18: PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT  Pages: 1567-1570  DOI: 10.1145/3269206.3269237  Published: 2018  

Abstract: As one of the most widely used clustering techniques, the fuzzy K-Means (also called FKM or FCM) assigns every data point to each cluster with a certain degree of membership. However, conventional FKM approach relies on the square data fitting term which is not robust to data outliers and ignores the prior information, which leads to unsatisfactory clustering results. In this paper, we present a novel and robust fuzzy K-Means clustering algorithm, namely Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information. The proposed method combines fuzzy K-Means with nonnegative spectral clustering into a unified model, and further takes the advantage of the prior knowledge of data pairs such that the quality of similarity graph is enhanced and the clustering performance is effectively improved. Besides, the l(2,1)-norm loss function is adopted in the objective function, which achieves better robustness to outliers. Last, experimental results on benchmark datasets verify the effectiveness and superiority of the proposed clustering method.

Accession Number: WOS:000455712300172

Conference Title: 27th ACM International Conference on Information and Knowledge Management (CIKM)

Conference Date: OCT 22-26, 2018

Conference Location: Torino, ITALY

Conference Sponsors: Assoc Comp Machinery, Assoc Comp Machinery Special Interest Grp Informat Retrieval, Assoc Comp Machinery SIGWEB, Univ Trieste

Author Identifiers:

ISBN: 978-1-4503-6014-2

Record 41 of 170

Title: SalNet: Edge Constraint Based End-to-End Model for Salient Object Detection

Author(s): Han, L (Han, Le); Li, XL (Li, Xuelong); Dong, YS (Dong, Yongsheng)

Edited by: Lai JH; Liu CL; Chen X; Zhou J; Tan T; Zheng N; Zha H

Source: PATTERN RECOGNITION AND COMPUTER VISION (PRCV 2018), PT IV  Book Series: Lecture Notes in Computer Science  Volume: 11259  Pages: 186-198  DOI: 10.1007/978-3-030-03341-5_16  Published: 2018  

Abstract: Salient object detection is a fundamental task in computer vision and pattern recognition. And it has been investigated by many researchers in many fields for a long time. Numerous salient object detection models based on deep learning have been designed in recent years. However, the saliency maps extracted by most of the existing models are blurry or have irregular edges. To alleviate these problems, we propose a novel approach named SalNet to detect the salient objects accurately in this paper. The architecture of the SalNet is an U-Net which can combine the features of the shallow and deep layers. Moreover, a new objective function based on the image convolution is further proposed to refine the edges of saliency maps by using a constraint on the L1 distance between edge information of the ground-truth and the saliency maps. Finally, we evaluate our proposed SalNet on benchmark datasets and compare it with the state-of-the-art algorithms. Experimental results demonstrate that the SalNet is effective and outperforms several representative methods in salient object detection task.

Accession Number: WOS:000846893700016

Conference Title: 1st Chinese Conference on Pattern Recognition and Computer Vision (PRCV)

Conference Date: NOV 23-26, 2018

Conference Location: Guangzhou, PEOPLES R CHINA

Author Identifiers:

ISSN: 0302-9743

eISSN: 1611-3349

ISBN: 978-3-030-03341-5; 978-3-030-03340-8

Record 42 of 170

Title: Sea Trial of Flow Noise of Fiber Laser Hydrophone Array

Author(s): Hao, GY (Hao Ge-yang); Li, Q (Li Qi); Liu, B (Liu Bo); Liu, W (Liu Wei); Wu, GJ (Wu Guo-jun)

Edited by: Jiang S; Wang L; Liu Z; Shi W; Zhou P

Source: ADVANCED LASER TECHNOLOGY AND APPLICATIONS  Book Series: Proceedings of SPIE  Volume: 10844  Article Number: UNSP 108440Z  DOI: 10.1117/12.2505565  Published: 2018  

Abstract: Towed linear array array based on fiber laser hydrophone which had much research potentiality owing to its higher acoustic pressure sensitivity, smaller size and lower difficulty of multiplexing. Flow noise is one of the main sources of noise in the towed linear array system. It will compress the dynamic range of fiber laser hydrophone and reduce the detection ability to small signal. In this paper, the structure of a 4 channel fiber laser hydrophone towed linear array was presented, and the data of sea trial of flow noise was analyzed. The results shows that the influence of flow noise mainly concentrate on the low frequency band which under 500Hz, and the background noise level has increased nearly 70-80dB when the array is towed at the speed of 3 kn.

Accession Number: WOS:000455307100034

Conference Title: Conference on Advanced Laser Technology and Applications / International Symposium on Optoelectronic Technology and Application (OTA) / Annual Conference of the Chinese-Society-for-Optical-Engineering (CSOE)

Conference Date: MAY 22-24, 2018

Conference Location: Beijing, PEOPLES R CHINA

Conference Sponsors: Chinese Soc Opt Engn, Chinese Soc Astronaut, Photoelectron Technol Comm, CHIA, Photoelectron Industrializat Comm, CHIA, Acad & Res, Dept Cooperat & Coordinat Ind, Sci & Technol Low Light Level Night Vis Lab, Chinese Acad Engn, Div Informat & Elect Engn

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-2331-6

Record 43 of 170

Title: SPECTRAL-SPATIAL HYPERSPECTRAL IMAGE CLASSIFICATION VIA LOCALITY AND STRUCTURE CONSTRAINED LOW-RANK REPRESENTATION

Author(s): He, X (He, Xiang); Wang, Q (Wang, Qi); Li, XL (Li, Xuelong)

Book Group Author(s): IEEE

Source: IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM  Book Series: IEEE International Symposium on Geoscience and Remote Sensing IGARSS  Pages: 5744-5747  Published: 2018  

Abstract: Low-rank representation (LRR) has been applied widely in most fields due to its considerable ability to explore the low-dimensional subspace embedding in high-dimensional data. However, there are still some problems that LRR can't effectively exploit the local structure and the representation for the given data is not discriminative enough. To tackle the above issues, we propose a novel locality and structure constrained low-rank representation (LSLRR) for hyperspectral image (HSI) classification. First, a distance metrics, which combines spectral and spatial similarity, is proposed to constrain the local structure. This makes two pixels in HSI with small distance have high similarity. Second, we exploit the classwise block-diagonal structure for the training data to learn the more discriminative representation for the testing data. And the experimental results verify the effectiveness and superiority of LSLRR comparing with other state-of-the-art methods.

Accession Number: WOS:000451039805144

Conference Title: 38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

Conference Date: JUL 22-27, 2018

Conference Location: Valencia, SPAIN

Conference Sponsors: Inst Elect & Elect Engineers, Inst Elect & Elect Engineers Geoscience & Remote Sensing Soc, European Space Agcy

Author Identifiers:

ISSN: 2153-6996

ISBN: 978-1-5386-7150-4

Record 44 of 170

Title: High Power Multiple Wavelength Diode Laser Stack for DPSSL Application without Temperature Control

Author(s): Hou, D (Hou, Dong); Yin, X (Yin, Xia); Wang, JW (Wang, Jingwei); Chen, S (Chen, Shi); Zhan, Y (Zhan, Yun); Li, XN (Li, Xiaoning); Fan, YM (Fan, Yingmin); Liu, XS (Liu, Xingsheng)

Edited by: Glebov AL; Leisher PO

Source: COMPONENTS AND PACKAGING FOR LASER SYSTEMS IV  Book Series: Proceedings of SPIE  Volume: 10513  Article Number: UNSP 1051311  DOI: 10.1117/12.2291169  Published: 2018  

Abstract: High power diode laser stack is widely used in pumping solid-state laser for years. Normally an integrated temperature control module is required for stabilizing the output power of solid-state laser, as the output power of the solid-state laser highly depends on the emission wavelength and the wavelength shift of diode lasers according to the temperature changes. However the temperature control module is inconvenient for this application, due to its large dimension, high electric power consumption and extra adding a complicated controlling system. Furthermore, it takes dozens of seconds to stabilize the output power when the laser system is turned on. In this work, a compact hard soldered high power conduction cooled diode laser stack with multiple wavelengths is developed for stabilizing the output power of solid-state laser in a certain temperature range. The stack consists of 5 laser bars with the pitch of 0.43 mm. The peak output power of each bar in the diode laser stack reaches as much as 557 W and the combined lasing wavelength spectrum profile spans 15 nm. The solid-state laser, structured with multiple wavelength diode laser stacks, allows the ambient temperature change of 65 degrees C without suddenly degrading the optical performance.

Accession Number: WOS:000432464600023

Conference Title: Conference on Components and Packaging for Laser Systems IV

Conference Date: JAN 30-FEB 01, 2018

Conference Location: San Francisco, CA

Conference Sponsors: SPIE

Author Identifiers:

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-1512-0; 978-1-5106-1511-3

Record 45 of 170

Title: Supporting Structure Design between Primary and Secondary Mirrors in a Long Focal Length Space Optical Remote Sensor

Author(s): Hu, B (Hu, Bin); Wu, MY (Wu, Mengyuan); Ye, J (Ye, Jing); Li, Y (Li, Yan); Li, XY (Li, Xuyang)

Edited by: Ma X; Fan B; Wan Y; Russell A; Luo X

Source: 9TH INTERNATIONAL SYMPOSIUM ON ADVANCED OPTICAL MANUFACTURING AND TESTING TECHNOLOGIES: LARGE MIRRORS AND TELESCOPES  Book Series: Proceedings of SPIE  Volume: 10837  Article Number: UNSP 1083703  DOI: 10.1117/12.2504859  Published: 2018  

Abstract: To ensure the dimensional stability of the opto-mechnical structure of the space optical remote sensor is an important prerequisite for the acquisition of high quality images. The change of the relative position between the primary and secondary mirrors has a great influence on the imaging quality of the long focal length optical remote sensor. Several common forms of supporting structure between the primary and secondary mirrors and the secondary mirror support of lightweight, high stiffness have been analyzed. This paper has designed a baffle tube between primary and secondary mirrors of high modulus carbon fiber M55J/cyanate ester material, carbon fiber composite main body with titanium alloy inserts integral the secondary mirror supporting structure. Through static and dynamic analysis, it is proved that the designed optical remote sensor has good structural stability and dynamic characteristics, and meets the requirements of engineering application.

Accession Number: WOS:000459720200002

Conference Title: 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies - Large Mirrors and Telescopes

Conference Date: JUN 26-29, 2018

Conference Location: Chengdu, PEOPLES R CHINA

Conference Sponsors: Chinese Acad Sci, Inst Opt & Elect, Chinese Opt Soc, SPIE

Author Identifiers:

ISSN: 0277-786X

eISSN: 1996-756X

ISBN: 978-1-5106-2317-0

Record 46 of 170

Title: High Precision Measurement and 3-D Reconstruction of Non-Cooperative Spacecraft Based on Binocular Vision

Author(s): Hu, GL (Hu, Guoliang); Zhou, ZF (Zhou, Zuofeng); Cao, JZ (Cao, Jianzhong); Huang, HM (Huang, Huimin)

Edited by: Jiang X; Hwang JN

Source: TENTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2018)  Book Series: Proceedings of SPIE  Volume: 10806  Article Number: UNSP 108063E  DOI: 10.1117/12.2503049  Published: 2018  

Abstract: In this paper, we propose an automatic method for high precision measurement and 3D reconstruction of non-cooperative spacecraft based on binocular vision. The Zhengyou Zhang's calibration method was implemented to calibrate the camera's internal and external parameters; the 8-point algorithm was adopted to compute the fundamental and essential matrix between the cameras; we got the relative position of binocular camera by the method of the SVD of essential matrix; a stereo matching algorithm depending on the Semi-Global Matching was adopted for disparity map. Subsequently, the cloud information of world points was calculated through least square method. In our experiment, a complex outdoor scene was used. We made a satellite model which has the same size of the real one. To get the accurate position and angle of the spacecraft, the ellipse marks on the spacecraft was exacted effectively under three constraints. The experimental results show that the spacecraft model can be reconstructed accurately by our method. The method contributes the error rate of 1% for the test length and 3% for the test angle in 1 meter.

Accession Number: WOS:000452819600121

Conference Title: 10th International Conference on Digital Image Processing (ICDIP)

Conference Date: MAY 11-14, 2018