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 FR2.R3: Object Detection and Segmentation
Presentation Mode Virtual
Session Time Fri, 02 Oct, 14:30 - 16:30 UTC
Fri, 02 Oct, 22:30 - 00:30 China Standard Time (UTC +8)
Fri, 02 Oct, 16:30 - 18:30 Central Europe Time (UTC +2)
Fri, 02 Oct, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session ChairsPedro Rossa, Unisinos University and Qing Xu, Hohai University
FR2.R3.1: CLOUD SHADOW DETECTION IN HYPERSPECTRAL IMAGERY USING BACKPROPAGATION NEURAL NETWORK WITH LIDAR DATA
         Meng Xu; Shenzhen University
         Sen Jia; Shenzhen University
FR2.R3.2: AUTOMATIC SINGLE-IMAGE BASED CLOUD DETECTION METHOD WITHOUT PRIOR INFORMATION
         Yuhan Liu; University of Electronic Science and Technology of China
         Zhenming Peng; University of Electronic Science and Technology of China
FR2.R3.3: SATELLITE ATTITUDE CHANGE RECOGNITION BASED ON MULTI-FRAME IMAGE BY 3D CONVOLUTIONAL NEURAL NETWORKS
         Haoxuan Yuan; Harbin Institute of Technology
         Yun Zhang; Harbin Institute of Technology
         Xiaodong Gong; Southwest electronic equipment research institute
         Hongbo Li; Harbin Institute of Technology
         Muqun Niu; Harbin Institute of Technology
FR2.R3.4: HOW MUCH WAVELET DECOMPOSITION CAN IMPROVE THE DETECTION OF SURFACE FRACTURES IN REMOTE SENSING IMAGES?
         Eniuce Souza; State University of Maringa
         Ademir Marques Jr; Unisinos University
         Rafael Horota; Unisinos University
         Lucas Kupssinsku; Unisinos University
         Pedro Rossa; Unisinos University
         Alysson Aires; Unisinos University
         Luiz Silveira Junior; Unisinos University
         Maurício Veronez; Unisinos University
         Carol Cazarin; PETROBRAS
FR2.R3.5: REDUCING THE RECEIVING ARRAY COMPLEXITY BY USING THE PARALLEL STOCHASTIC RESONANCE SYSTEM
         Di He; Shanghai Jiao Tong University
         Fusheng Zhu; Guangdong Communications & Networks Institute
         Lijuan Sun; NXP Semiconductors
         Wenxian Yu; Shanghai Jiao Tong University
FR2.R3.6: RESEARCH ON C&I JAMMING BASED ON FREQUENCY DIVERSE ARRAY ANTENNA
         Hui Wang; State Grid Anhui Electric Power CO., LTD
         Shunsheng Zhang; University of Electronic Science and Technology of China
         Lu Zhang; State Grid Anhui Electric Power CO., LTD
         Xiaowei Wang; State Grid Anhui Electric Power CO., LTD
         Bang Huang; University of Electronic Science and Technology of China
FR2.R3.7: OBJECT DETECTION FOR REMOTE SENSING IMAGES BASED ON GUIDED ANCHORING AND FEATURE FUSION
         Wei Wang; National University of Defense Technology
         Zhuangzhuang Tian; National University of Defense Technology
         Ronghui Zhan; National University of Defense Technology
         Jun Zhang; National University of Defense Technology
         Zhaowen Zhuang; National University of Defense Technology
FR2.R3.8: HIGH-RESOLUTION IMAGING BASED ON TEMPORAL-SPATIAL STOCHASTIC RADIATION FIELD AND COMPRESSIVE SENSING THEORY
         Rui Zhang; Xidian University
         Yinghui Quan; Xidian University
         Ran Xu; Beijing Institue of Electronic System Engineering
         Shengqi Zhu; Xidian University
         Yachao Li; Xidian University
         Mengdao Xing; Xidian University
FR2.R3.9: A DEFORMABLE CONVOLUTION NEURAL NETWORK FOR SAR ATR
         Zhiyong Wang; University of Electronic Science and Technology of China
         Chenwei Wang; University of Electronic Science and Technology of China
         Jifang Pei; University of Electronic Science and Technology of China
         Yulin Huang; University of Electronic Science and Technology of China
         Yin Zhang; University of Electronic Science and Technology of China
         Haiguang Yang; University of Electronic Science and Technology of China
FR2.R3.10: A NOVEL FRAMEWORK OF CNN INTEGRATED WITH ADABOOST FOR REMOTE SENSING SCENE CLASSIFICATION
         Xudong Hu; Wuhan University
         Penglin Zhang; Wuhan University
         Qi Zhang; Wuhan University
FR2.R3.11: SUPERVISED ADAPTIVE-RPN NETWORK FOR OBJECT DETECTION IN REMOTE SENSING IMAGES
         Xu Tang; Xidian University
         Huayu Zhang; Xidian University
         Jingjing Ma; Xidian University
         Xiangrong Zhang; Xidian University
         Licheng Jiao; Xidian University
FR2.R3.12: DEEP ADAPTIVE PROPOSAL NETWORK IN OPTICAL REMOTE SENSING IMAGES OBJECTIVE DETECTION
         Lingling Li; Xidian University
         Lin Cheng; Xidian University
         Xiaohui Guo; Xidian University
         Xu Liu; Xidian University
         Licheng Jiao; Xidian University
         Fang Liu; Xidian University