My IGARSS 2020 Schedule

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Session Detail

Session Title WE1.R18: Vessels Detection using Remote Sensing Data
Presentation Mode Virtual
Session Time Wed, 30 Sep, 12:00 - 14:00 UTC
Wed, 30 Sep, 20:00 - 22:00 China Standard Time (UTC +8)
Wed, 30 Sep, 14:00 - 16:00 Central Europe Time (UTC +2)
Wed, 30 Sep, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session ChairsBjörn Tings, German Aerospace Center (DLR) and Xiaoling Zhang, University of Electronic Science and Technology of China

WE1.R18.1: SHIPDENET-18: AN ONLY 1 MB WITH ONLY 18 CONVOLUTION LAYERS LIGHT-WEIGHT DEEP LEARNING NETWORK FOR SAR SHIP DETECTION
         Tianwen Zhang; University of Electronic Science and Technology of China
         Xiaoling Zhang; University of Electronic Science and Technology of China
         Jun Shi; University of Electronic Science and Technology of China
         Shunjun Wei; University of Electronic Science and Technology of China

WE1.R18.2: AN INTEGRATED METHOD OF SHIP DETECTION AND RECOGNITION IN SAR IMAGES BASED ON DEEP LEARNING
         Zesheng Hou; University of Electronic Science and Technology of China
         Zongyong Cui; University of Electronic Science and Technology of China
         Zongjie Cao; University of Electronic Science and Technology of China
         Nengyuan Liu; University of Electronic Science and Technology of China

WE1.R18.3: SHIP DETECTION IN RADAR IMAGE SERIES BASED ON THE LONG SHORT-TERM MEMORY NETWORK
         Yi Xu; Beihang University
         Bing Sun; Beihang University
         Chunsheng Li; Beihang University
         Jie Chen; Beihang University

WE1.R18.4: SHIP WAKE COMPONENT DETECTABILITY ON SYNTHETIC APERTURE RADAR (SAR)
         Björn Tings; German Aerospace Center
         Stefan Wiehle; German Aerospace Center
         Sven Jacobsen; German Aerospace Center

WE1.R18.5: FAST SINGLE-SHOT SHIP INSTANCE SEGMENTATION BASED ON POLAR TEMPLATE MASK IN REMOTE SENSING IMAGES
         Zhenhang Huang; Beijing University of Chemical Technology
         Shihao Sun; Beijing University of Chemical Technology
         Ruirui Li; Beijing University of Chemical Technology

WE1.R18.6: RECOGNITION OF SHIP BY ISAR WITH IMPROVED PARTIAL-MODAL GENERATIVE ADVERSARIAL NETWORKS
         Gaopeng Li; Harbin Institute of Technology
         Jie Wang; Harbin Institute of Technology
         Yun Zhang; Harbin Institute of Technology

WE1.R18.7: DENSE DOCKED SHIP DETECTION VIA SPATIAL GROUP-WISE ENHANCE ATTENTION IN SAR IMAGES
         Xiaoya Wang; University of Electronic Science and Technology of China
         Zongyong Cui; University of Electronic Science and Technology of China
         Zongjie Cao; University of Electronic Science and Technology of China
         Sihang Dang; University of Electronic Science and Technology of China

WE1.R18.8: SHIP TARGET SIGNATURE INDICATION BASED ON COMPLEX SIGNAL KURTOSIS IN SAR IMAGES
         Xiangguang Leng; National University of Defense Technology
         Kefeng Ji; National University of Defense Technology
         Boli Xiong; National University of Defense Technology
         Gangyao Kuang; National University of Defense Technology

WE1.R18.9: A SVA BASED SIDELOBE SUPPRESSION METHOD FOR SEA-LAND SEGMENTATION AND SHIP DETECTION IN SAR IMAGES
         Yinli Huang; Xidian University
         Lu Sun; 93128 Troops of the Chinese peoples's liberation army
         Liang Guo; Xidian University
         Guangcai Sun; Xidian University
         Mengdao Xing; Xidian University
         Jun Yang; Xi’an University of Science and Technology
         Yihua Hu; National University of Defense Technology

WE1.R18.10: SHIP DETECTION FROM POLSAR IMAGERY BASED ON THE SCATTERING DIFFERENCE PARAMETER
         Tao Zhang; Tsinghua University
         Zhen Yang; Jiangxi Science and Technology Normal University
         Cheng Xing; Tsinghua University
         Liang Zeng; Tsinghua University
         Junjun Yin; University of Science and Technology Beijing
         Jian Yang; Tsinghua University

WE1.R18.11: A NEW AUTOMATIC SHIP WAKE DETECTION FOR SENTINEL-1 IMAGERY
         Elena Grosso; Surrey Space Centre
         Raffaella Guida; Surrey Space Centre

WE1.R18.12: SHIP DETECTION IN LARGE SCALE SAR IMAGES BASED ON BIAS CLASSIFICATION
         Xiaoya Wang; University of Electronic Science and Technology of China
         Zongyong Cui; University of Electronic Science and Technology of China
         Zongjie Cao; University of Electronic Science and Technology of China
         Yu Tian; University of Electronic Science and Technology of China