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2020 IEEE International Geoscience and Remote Sensing Symposium
September 26 - October 2, 2020 • Virtual Symposium
2020 IEEE International Geoscience and Remote Sensing Symposium
September 26 - October 2, 2020 • Virtual Symposium
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Session Detail
Session Title
TU1.R18: Target Detection using SAR Data
Presentation Mode
Virtual
Session Time
Tue, 29 Sep, 12:00 - 14:00 UTC
Tue, 29 Sep, 20:00 - 22:00 China Standard Time (UTC +8)
Tue, 29 Sep, 14:00 - 16:00 Central Europe Time (UTC +2)
Tue, 29 Sep, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session Chairs
Cheng Hu, Beijing Institute of Technology and Ferdinando Nunziata, Univ. Napoli “Parthenope”
TU1.R18.1:
FUSION OF LINEAR AND NONLINEAR CLASSIFIERS FOR KERNEL DICTIONARY LEARNING: APPLICATION TO SAR TARGET RECOGNITION
Lei Tao;
Shanghai Jiao Tong University
Xue Jiang;
Shanghai Jiao Tong University
Zhou Li;
Beijing Institute of Remote Sensing Information
Xingzhao Liu;
Shanghai Jiao Tong University
TU1.R18.2:
TRIPWIRE DETECTION IN SAR IMAGES USING A MODIFIED RADON TRANSFORM
Markus Schartel;
Ulm University
Alexander Grathwohl;
Ulm University
Christopher Schmid;
Ulm University
Ralf Burr;
Ulm University of Applied Sciences
Christian Waldschmidt;
Ulm University
TU1.R18.3:
CASE STUDIES WITH SAR DATA FOR ASSESSING THE UTILITY OF MANUAL FEATURE SELECTION IN MACHINE LEARNING
Kyle Gray;
National Geospatial-Intelligence Agency
Thomas Mitchell;
National Geospatial-Intelligence Agency
Wade Schwartzkopf;
National Geospatial-Intelligence Agency
TU1.R18.4:
INCREMENTAL MULTITASK SAR TARGET RECOGNITION WITH DOMINANT NEURON PRESERVATION
Yingbing Liu;
Beijing University Of Chemical Technology
Fan Zhang;
Beijing University Of Chemical Technology
Fei Ma;
Beijing University Of Chemical Technology
Qiang Yin;
Beijing University Of Chemical Technology
Yongsheng Zhou;
Beijing University Of Chemical Technology
TU1.R18.5:
SALIENCY-DRIVEN TARGET DETECTION BASED ON COMMON VISUAL FEATURE CLUSTERING FOR MULTIPLE SAR IMAGES
Shan Wang;
Beijing Normal University
Qiaoyue Sun;
Beijing Normal University
Sijia Ma;
Beijing Normal University
Libao Zhang;
Beijing Normal University
TU1.R18.6:
AN INTEGRATED SAR SPECKLE REDUCTION AND TARGET DETECTION APPROACH
Si-Wei Chen;
National University of Defense Technology
Xing-Chao Cui;
National University of Defense Technology
Xue-Song Wang;
National University of Defense Technology
Shun-Ping Xiao;
National University of Defense Technology
TU1.R18.7:
HUMAN BODY RECOGNITION METHOD USING DIFFRACTION SIGNAL IN NLOS SCENARIO FOR MILLIMETER WAVE RADAR
Jianghaomiao He;
University of Electro-Communications
Shota Terashima;
Mazda Motor Corp. Japan
Hideyuki Yamada;
Mazda Motor Corp. Japan
Shouhei Kidera;
University of Electro-Communications
TU1.R18.8:
MICRO GESTURE RECOGNITION WITH TERAHERTZ RADAR BASED ON DIAGONAL PROFILE OF RANGE-DOPPLER MAP
Xing Wang;
University of Electronic Science and Technology of China
Rui Min;
University of Electronic Science and Technology of China
Zongyong Cui;
University of Electronic Science and Technology of China
Zongjie Cao;
University of Electronic Science and Technology of China
TU1.R18.9:
SHIP DETECTION BASED ON SUPERPIXELWISE LOCAL CONTRAST MEASUREMENT FOR POLSAR IMAGES
Tao Li;
Hangzhou Dianzi University
Dongliang Peng;
Hangzhou Dianzi University
Baofeng Guo;
Hangzhou Dianzi University
Zhikun Chen;
Hangzhou Dianzi University
Feng Fang;
Hangzhou Dianzi University
TU1.R18.10:
MULTI-VIEW FUSION BASED ON EXPECTATION MAXIMIZATION FOR SAR TARGET RECOGNITION
Yukun Zhang;
University of Electronic Science and Technology of China
Xiansheng Guo;
University of Electronic Science and Technology of China
Haohao Ren;
University of Electronic Science and Technology of China
Qun Wan;
University of Electronic Science and Technology of China
Xiaofeng Shen;
University of Electronic Science and Technology of China
TU1.R18.11:
MULTI-ANGULAR SAR STATISTICAL PROPERTIES ANALYSIS AND MAN-MADE TARGET DETECTION
Fei Teng;
University of Chinese Academy of Sciences
Yun Lin;
North China University of Technology
Yanping Wang;
North China University of Technology
Wenjie Shen;
University of Chinese Academy of Sciences
Shanshan Feng;
University of Chinese Academy of Sciences
Wen Hong;
Chinese Academy of Sciences