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

My IGARSS 2020 Schedule

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Session Detail

Session Title TU2.R16: Processing and Imaging Techniques I
Presentation Mode Virtual
Session Time Tue, 29 Sep, 14:30 - 16:30 UTC
Tue, 29 Sep, 22:30 - 00:30 China Standard Time (UTC +8)
Tue, 29 Sep, 16:30 - 18:30 Central Europe Time (UTC +2)
Tue, 29 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session ChairsOktay Karakus, Visual Information Lab, University of Bristol and Sriram Saran Bhiravarasu, ISRO
TU2.R16.1: SAR PARAMETRIC IMAGING FOR CIRCULAR-PLATE TARGET
         Yuhan Wen; Beijing Institute of Technology
         Zegang Ding; Beijing Institute of Technology
         Fan Feng; China Academy of Space Technology
         Yan Wang; Beijing Institute of Technology
         Pei Xu; Beijing Institute of Technology
         Xinliang Chen; Beijing Institute of Technology
         Tao Zeng; Beijing Institute of Technology
TU2.R16.2: ADAPTIVE SIDELOBE SUPPRESSION OF SAR IMAGES WITH ARBITRARY DOPPLER CENTROIDS AND BANDWIDTHS
         Weili Zhang; Shanghai Jiao Tong University
         Junfeng Wang; Shanghai Jiao Tong University
         Xingzhao Liu; Shanghai Jiao Tong University
TU2.R16.3: DIFFERENTIAL MODEL FOR SAR IMAGING
         Zhijun Qiao; University of Texas Rio Grande Valley
         Bin Zhou; Harbin Institute of Technology
         Lamei Zhang; Harbin Institute of Technology
TU2.R16.4: IMPROVED OMEGA-K ALGORITHM FOR HIGHLY SQUINTED TOPSAR WITH CURVED TRAJECTORY
         Gang Zhang; Xidian University
         Feng Chen; Shanghai Electro-Mechanical Engineering Institute
         Guofei Li; Xidian University
         Yi Liang; Xidian University
TU2.R16.5: GNSS-R MULTI-PERIOD SAR IMAGING EXPERIMENTAL STUDY
         Shu Wang; Beihang University
         Yunlong Zhu; Beihang University
         Dongkai Yang; Beihang University
         Shiyu Wu; Beihang University
TU2.R16.6: A PRECISE ONE-STEP MOTION COMPENSATION FOR SYNTHETIC APERTURE RADAR
         Qianrong Lu; Shanghai Radio Equipment Research Institute
         Ke Du; Shanghai Radio Equipment Research Institute
         Xiangzhen Yu; Shanghai Radio Equipment Research Institute
         Panhu Li; Shanghai Radio Equipment Research Institute
TU2.R16.7: LONG SYNTHETIC APERTURE PASSIVE LOCALIZATION USING AZIMUTH CHIRP-RATE CONTOUR MAP
         Yuqi Wang; Xidian University
         Guang-cai Sun; Xidian University
         Mengdao Xing; Xidian University
         Jixiang Xiang; Xidian University
         Zijing Zhang; Xidian University
         Liang Guo; Xidian University
TU2.R16.8: CIRCULAR EXPERIMENT WITH P-BAND ULTRA-WIDEBAND SYNTHETIC APERTURE RADAR SYSTEM
         Hongtu Xie; Sun Yat-sen University
         Jun Hu; Sun Yat-sen University
         Keqing Duan; Sun Yat-sen University
         Ni Xie; Hunan University of Science and Technology
         Guoqian Wang; Sun Yat-sen University
TU2.R16.9: FEATURE CORRELATION ANALYSIS OF TWO-BRANCH CONVOLUTIONAL NETWORKS FOR MULTI-SOURCE IMAGE CLASSIFICATION
         Xu Liu; Xidian University
         Licheng Jiao; Xidian University
         Fang Liu; Xidian University
         Xin Hou; WeBank
         Dan Zhang; Xidian University
TU2.R16.10: DEEP LEARNING FOR VEGETATION IMAGE SEGMENTATION IN LAI MEASUREMENT
         Cunshi Ma; University of Electronic Science and Technology of China
         Yunping Chen; University of Electronic Science and Technology of China
         Lei Hou; University of Electronic Science and Technology of China
         Baihui Li; University of Electronic Science and Technology of China
         Yan Chen; University of Electronic Science and Technology of China
         Yuan Sun; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Xingfa Gu; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
TU2.R16.11: SEMANTIC SEGMENTATION KNOWLEDGE BASED MMRF OPTIMAL METHOD FOR FINE-GRAINED URBAN INFRASTRUCTURE CLASSIFICATION MAPPING FROM OPTICAL VHR AERIAL IMAGERY
         Shan Dong; Communication University of China
         Yin Zhuang; Peking University
         Yupei Wang; Beijing Institute of Technology
         He Chen; Beijing Institute of Technology
         Long Pang; Communication University of China
         Zhanxin Yang; Communication University of China
         Teng Long; Beijing Institute of Technology
TU2.R16.12: DESIGNING SYNTHETIC OVERHEAD IMAGERY TO MATCH A TARGET GEOGRAPHIC REGION: PRELIMINARY RESULTS TRAINING DEEP LEARNING MODELS
         Varun Nair; Duke University
         Paul Rhee; Duke University
         Jichen Yang; Duke University
         Bohao Huang; Duke University
         Kyle Bradbury; Duke University
         Jordan Malof; Duke University