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 TH1.R2: Adaptive and Neural Methods for Object Recognition
Presentation Mode Virtual
Session Time Thu, 01 Oct, 12:00 - 14:00 UTC
Thu, 01 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Thu, 01 Oct, 14:00 - 16:00 Central Europe Time (UTC +2)
Thu, 01 Oct, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session ChairsGuoqing Zhou, Guilin University of Technology and Yang Liu, PetroChina
TH1.R2.1: FUSION-ORIENTED AIRCRAFT DETECTION IN LARGE SCENE IMAGE BASED ON TINY DARKNET
         Jianing Wang; Harbin Institute of Technology
         Ye Zhang; Harbin Institute of Technology
TH1.R2.2: COMPUTER VISION AIDED OPTICAL CORRELATOR FOR SAR TARGET RECOGNITION
         Xintao Meng; Shanghai Jiao Tong University
         Yesheng Gao; Shanghai Jiao Tong University
         Xingzhao Liu; Shanghai Jiao Tong University
TH1.R2.3: FINE ACQUISITION OF VESSEL TRAINING DATA FOR MACHINE LEARNING FROM SENTINEL-1 SAR IMAGES ACCOMPANIED BY AIS IMFORMATION
         Juyoung Song; Seoul National University
         Duk-jin Kim; Seoul National University
TH1.R2.4: A TARGET DETECTION ALGORITHM OF NEURAL NETWORK BASED ON HISTOGRAM STATISTICS
         Shuai Jiang; Beijing Institute of Spacecraft System Engineering
         Yalong Pang; Beijing Institute of Spacecraft System Engineering
         Luyuan Wang; Beijing Institute of Spacecraft System Engineering
         Jiyang Yu; Beijing Institute of Spacecraft System Engineering
         Bowen Cheng; Beijing Institute of Spacecraft System Engineering
         Zongling Li; Beijing Institute of Spacecraft System Engineering
TH1.R2.5: USING POLAR GRID FOR BUILDING EXTRACTION IN TERRESTRIAL LASER SCANNING DATA
         Maolin Chen; Chongqing Jiaotong University
         Feifei Tang; Chongqing Jiaotong University
         Jianping Pan; Chongqing Jiaotong University
TH1.R2.6: ADAPTIVE FEATURE AGGREGATION NETWORK FOR OBJECT DETECTION IN REMOTE SENSING IMAGES
         Wenliang Sun; Xidian University
         Xiangrong Zhang; Xidian University
         Tianyang Zhang; Xidian University
         Peng Zhu; Xidian University
         Li Gao; State Key Laboratory of Geo-information Engineering
         Xu Tang; Xidian University
         Bo Liu; Xidian University
TH1.R2.7: FEATURE ENHANCED CENTERNET FOR OBJECT DETECTION IN REMOTE SENSING IMAGES
         Tong Zhang; Beijing Institute of Technology
         Guanqun Wang; Beijing Institute of Technology
         Yin Zhuang; Peking University
         He Chen; Beijing Institute of Technology
         Hao Shi; Beijing Institute of Technology
         Liang Chen; Beijing Institute of Technology
TH1.R2.8: BUILDING DETECTION BASED ON RECTANGLE APPROXIMATION AND REGION GROWING
         Xueqi Yin; Harbin Institute of Technology
         XiaoLong Hao; Beijing Tracking and Communication Technology Research Institute
         Tong Gao; Harbin Institute of Technology
         Hao Chen; Harbin Institute of Technology
         Wen Chen; Harbin Institute of Technology
TH1.R2.9: SHIP DETECTION WITH SAR BASED ON YOLO
         Shaobin Jiang; University of Electronic Science and Technology of China
         Mingcang Zhu; Department of Natural Resources of Sichuan Province
         Yong He; Sichuan Research Institute for Eco-system Restoration & Geo-disaster Prevention
         Zezhong Zheng; University of Electronic Science and Technology of China
         Fangrong Zhou; Yunnan Power Grid Co., Ltd
         Guoqing Zhou; Guilin University of Technology
TH1.R2.10: MULTI-ASPECT SAR TARGET RECOGNITION BASED ON EFFICIENTNET AND GRU
         Pengfei Zhao; Aerospace Information Research Institute, Chinese Academy of Sciences
         Lijia Huang; Aerospace Information Research Institute, Chinese Academy of Sciences
TH1.R2.11: HYPERSPECTRAL TARGET DETECTION BY FRACTIONAL FOURIER TRANSFORM
         Xiaobin Zhao; Beijing Institute of Technology
         Wei Li; Beijing Institute of Technology
         Tao Shan; Beijing Institute of Technology
         Lu Li; Beijing Information Science and Technology University
         Ran Tao; Beijing Institute of Technology
TH1.R2.12: TOPOGRAPHICAL FEATURE EXTRACTION USING MACHINE LEARNING TECHNIQUES FROM SENTINEL-2A IMAGERY
         Kuldeep Chaurasia; Bennett University
         Neeraj Baipureddy; Bennett University
         Dattu Burle; Bennett University
         Vipul Kumar Mishra; Bennett University