WEP.P14: Semantic Analysis of SAR and Radar Data
Wed, 19 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Location: Poster Area 14
Session Type: Poster
Session Chair: Ryo Natsuaki, The University of Tokyo
Session Managers: Ge Jiang and HUMAIRA SANAM and Ayoti Banerjee and Srashti Singh
Track: AI and Big Data

WEP.P14.2: DENSE SHIP DETECTION GUIDED BY CENTRALITY PRIOR INFORMATION IN SAR IMAGES

Yu Zhang, Xueqian Wang, Gang Li, Tsinghua University, China

WEP.P14.4: DEFORM-FPN: A NOVEL FPN WITH DEFORMABLE CONVOLUTION FOR MULTI-SCALE SAR SHIP DETECTION

Tianwen Zhang, Xiaoling Zhang, Zikang Shao, University of Electronic Science and Technology of China, China

WEP.P14.5: Few-shot Radar HRRP Recognition Based on Improved Prototypical Network

Jixi li, Dongying Li, Shang Jiao Tong University, China; Yong Jiang, Academy of Military Sciences, China; Wenxian Yu, Shang Jiao Tong University, China

WEP.P14.6: Rotation Speed Estimation of SAR Ship Target Based on Complex-Valued Convolutional Long Short-Term Memory Network

Qinglong Hua, Yun Zhang, Haoxuan Yuan, Yicheng Jiang, Dan Xu, Harbin Institute of Technology, China

WEP.P14.7: AN EFFICIENT COMPRESSIVE LEARNING METHOD ON EARTH OBSERVATION DATA

Mobina Keymasi, Omid Ghozatlou, Politehnica University of Bucharest, Romania; Miguel Heredia Conde, Center for Sensor Systems (ZESS), University of Siegen, Germany; Mihai Datcu, Earth Observation Center (EOC), German Aerospace Center (DLR), Oberpfaffenhofen, Germany, Germany

WEP.P14.8: A MULTI-INTERMEDIATE DOMAIN ADVERSARIAL DEFENSE METHOD FOR SAR LAND COVER CLASSIFICATION

Yinkai Zan, Pingping Lu, Fei Zhao, Robert Wang, The National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, China