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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
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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 Chairs
Björn 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