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 FR1.R16: Processing and Imaging Techniques V
Presentation Mode Virtual
Session Time Fri, 02 Oct, 12:00 - 14:00 UTC
Fri, 02 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Fri, 02 Oct, 14:00 - 16:00 Central Europe Time (UTC +2)
Fri, 02 Oct, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session ChairsValeria Belloni, Sapienza University of Rome and Alejandro Frery, Victoria University of Wellington
FR1.R16.1: A NON-LINEARLY MOVING SHIP AUTOFOCUS METHOD UNDER HYBRID COORDINATE SYSTEM
         Guofei Li; Xidian University
         Gang Zhang; Xidian University
         Hanlin Qin; Xidian University
         Yi Liang; Xidian University
FR1.R16.2: SAR TARGET CLASSIFICATION WITH LIMITED DATA VIA DATA DRIVEN ACTIVE LEARNING
         Yue Zhou; Shanghai Jiao Tong University
         Xue Jiang; Shanghai Jiao Tong University
         Zhou Li; Beijing Institute of Remote Sensing Information
         Xingzhao Liu; Shanghai Jiao Tong University
FR1.R16.3: EFFICIENT INSAR IMAGING BASED ON FREQUENCY-DOMAIN BACK PROJECTION ALGORITHM
         Yue Wu; University of Electronic Science and Technology of China
         Shunjun Wei; University of Electronic Science and Technology of China
         Mou Wang; University of Electronic Science and Technology of China
         Jiadian Liang; University of Electronic Science and Technology of China
         Xiaoling Zhang; University of Electronic Science and Technology of China
FR1.R16.4: ISAR COMPRESSIVE SENSING IMAGING USING CONVOLUTION NEURAL NETWORK WITH INTERPRETABLE OPTIMIZATION
         Jiadian Liang; University of Electronic Science and Technology of China
         Shunjun Wei; University of Electronic Science and Technology of China
         Mou Wang; University of Electronic Science and Technology of China
         Hao Su; University of Electronic Science and Technology of China
         Jun Shi; University of Electronic Science and Technology of China
         Xiaoling Zhang; University of Electronic Science and Technology of China
FR1.R16.5: AN ANALYTICAL FRAMEWORK FOR UNDERSTANDING PERSISTENT SCATTERER INCIDENCE IN INSAR IMAGERY WITH BANDWIDTH AND WAVELENGTH
         Stacey Huang; Stanford University
         Howard Zebker; Stanford University
FR1.R16.6: HIGH-RESOLUTION OPTICAL AND SAR IMAGE REGISTRATION USING LOCAL SELF-SIMILAR DESCRIPTOR BASED ON EDGE FEATURE
         Yiqun Pan; University of Electronic Science and Technology of China
         Ling Tong; University of Electronic Science and Technology of China
         Yuxia Li; University of Electronic Science and Technology of China
         Fanghong Xiao; University of Electronic Science and Technology of China
         Haoyu Wang; University of Electronic Science and Technology of China
FR1.R16.7: COSMO-SKYMED RANGE MEASUREMENTS FOR DISPLACEMENT MONITORING USING AMPLITUDE PERSISTENT SCATTERERS
         Valeria Belloni; Sapienza University of Rome
         Marco Di Tullio; Sapienza University of Rome
         Roberta Ravanelli; Sapienza University of Rome
         Francesca Fratarcangeli; Sapienza University of Rome
         Andrea Nascetti; KTH Royal Institute of Technology
         Mattia Crespi; Sapienza University of Rome
FR1.R16.8: A ROBUST AMBIGUITY REMOVAL METHOD FOR STAGGERED SAR
         Xingxing Liao; University of Electronic Science and Technology of China
         Mingming Xu; Beijing Institute of Spacecraft System Engineering; Beijing Institute of Technology
         Kun Li; Beijing Institute of Spacecraft System Engineering
         Zhe Liu; University of Electronic Science and Technology of China
FR1.R16.9: SHIP DETECTION IN SAR IMAGES USING CONVOLUTIONAL VARIATIONAL AUTOENCODERS
         Nuno Ferreira; Instituto Superior Técnico - Universidade de Lisboa
         Margarida Silveira; Instituto Superior Técnico - Universidade de Lisboa
FR1.R16.10: TOWARDS DEEP UNSUPERVISED SAR DESPECKLING WITH BLIND-SPOT CONVOLUTIONAL NEURAL NETWORKS
         Andrea Bordone Molini; Politecnico di Torino
         Diego Valsesia; Politecnico di Torino
         Giulia Fracastoro; Politecnico di Torino
         Enrico Magli; Politecnico di Torino
FR1.R16.11: REMOTE SENSING DATA AUGMENTATION THROUGH ADVERSARIAL TRAINING
         Ning Lv; Xidian University
         Hongxiang Ma; Xidian University
         Chen Chen; Xidian University
         Qingqi Pei; Xidian University
         Yang Zhou; Ministry of water resources of China
         Fenglin Xiao; Ministry of water resources of China
         Ji Li; Ministry of water resources of China