TU2.R16: Processing and Imaging Techniques I

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 Summer Time (UTC +2)
Tue, 29 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session Co-Chairs: Oktay Karakus, Visual Information Lab, University of Bristol and Sriram Saran Bhiravarasu, ISRO
Session Managers: Thanh Huy Nguyen and Vineet Kumar
Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
14:30-14:40 (UTC)
22:30-22:40 (UTC +8)
16:30-16:40 (UTC +2)
07:30-07:40 (UTC -7)

TU2.R16.1: SAR PARAMETRIC IMAGING FOR CIRCULAR-PLATE TARGET

Yuhan Wen, Zegang Ding, Beijing Institute of Technology, China; Fan Feng, China Academy of Space Technology, China; Yan Wang, Pei Xu, Xinliang Chen, Tao Zeng, Beijing Institute of Technology, China
14:40-14:50 (UTC)
22:40-22:50 (UTC +8)
16:40-16:50 (UTC +2)
07:40-07:50 (UTC -7)

TU2.R16.2: ADAPTIVE SIDELOBE SUPPRESSION OF SAR IMAGES WITH ARBITRARY DOPPLER CENTROIDS AND BANDWIDTHS

Weili Zhang, Junfeng Wang, Xingzhao Liu, Shanghai Jiao Tong University, China
14:50-15:00 (UTC)
22:50-23:00 (UTC +8)
16:50-17:00 (UTC +2)
07:50-08:00 (UTC -7)

TU2.R16.3: Differential Model for SAR Imaging

Zhijun Qiao, University of Texas Rio Grande Valley, United States; Bin Zhou, Lamei Zhang, Harbin Institute of Technology, China
15:00-15:10 (UTC)
23:00-23:10 (UTC +8)
17:00-17:10 (UTC +2)
08:00-08:10 (UTC -7)

TU2.R16.4: IMPROVED OMEGA-K ALGORITHM FOR HIGHLY SQUINTED TOPSAR WITH CURVED TRAJECTORY

Gang Zhang, Xidian University, China; Feng Chen, Shanghai Electro-Mechanical Engineering Institute, China; Guofei Li, Yi Liang, Xidian University, China
15:10-15:20 (UTC)
23:10-23:20 (UTC +8)
17:10-17:20 (UTC +2)
08:10-08:20 (UTC -7)

TU2.R16.5: GNSS-R MULTI-PERIOD SAR IMAGING EXPERIMENTAL STUDY

Shu Wang, Yunlong Zhu, Dongkai Yang, Shiyu Wu, Beihang University, China
15:20-15:30 (UTC)
23:20-23:30 (UTC +8)
17:20-17:30 (UTC +2)
08:20-08:30 (UTC -7)

TU2.R16.6: A Precise One-Step Motion Compensation for Synthetic Aperture Radar

Qianrong Lu, Ke Du, Xiangzhen Yu, Panhu Li, Shanghai Radio Equipment Research Institute, China
15:30-15:40 (UTC)
23:30-23:40 (UTC +8)
17:30-17:40 (UTC +2)
08:30-08:40 (UTC -7)

TU2.R16.7: LONG SYNTHETIC APERTURE PASSIVE LOCALIZATION USING AZIMUTH CHIRP-RATE CONTOUR MAP

Yuqi Wang, Guang-cai Sun, Mengdao Xing, Jixiang Xiang, Zijing Zhang, Liang Guo, Xidian University, China
15:40-15:50 (UTC)
23:40-23:50 (UTC +8)
17:40-17:50 (UTC +2)
08:40-08:50 (UTC -7)

TU2.R16.8: CIRCULAR EXPERIMENT WITH P-BAND ULTRA-WIDEBAND SYNTHETIC APERTURE RADAR SYSTEM

Hongtu Xie, Jun Hu, Keqing Duan, Sun Yat-sen University, China; Ni Xie, Hunan University of Science and Technology, China; Guoqian Wang, Sun Yat-sen University, China
15:50-16:00 (UTC)
23:50-00:00 (UTC +8)
17:50-18:00 (UTC +2)
08:50-09:00 (UTC -7)

TU2.R16.9: Feature correlation analysis of two-branch convolutional networks for multi-source image classification

Xu Liu, Licheng Jiao, Fang Liu, Xidian University, China; Xin Hou, WeBank, China; Dan Zhang, Xidian University, China
16:00-16:10 (UTC)
00:00-00:10 (UTC +8)
18:00-18:10 (UTC +2)
09:00-09:10 (UTC -7)

TU2.R16.10: DEEP LEARNING FOR VEGETATION IMAGE SEGMENTATION IN LAI MEASUREMENT

Cunshi Ma, Yunping Chen, Lei Hou, Baihui Li, Yan Chen, University of Electronic Science and Technology of China, China; Yuan Sun, Xingfa Gu, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, China
16:10-16:20 (UTC)
00:10-00:20 (UTC +8)
18:10-18:20 (UTC +2)
09:10-09:20 (UTC -7)

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, China; Yin Zhuang, Peking University, China; Yupei Wang, He Chen, Beijing Institute of Technology, China; Long Pang, Zhanxin Yang, Communication University of China, China; Teng Long, Beijing Institute of Technology, China
16:20-16:30 (UTC)
00:20-00:30 (UTC +8)
18:20-18:30 (UTC +2)
09:20-09:30 (UTC -7)

TU2.R16.12: DESIGNING SYNTHETIC OVERHEAD IMAGERY TO MATCH A TARGET GEOGRAPHIC REGION: PRELIMINARY RESULTS TRAINING DEEP LEARNING MODELS

Varun Nair, Paul Rhee, Jichen Yang, Bohao Huang, Kyle Bradbury, Jordan Malof, Duke University, United States