WEP.P14.1: 3XA: FULLY AUTOMATED AND UNSUPERVISED DEEP LEARNING ALGORITHM FOR CHANGE DETECTION IN URBAN, COASTAL AND COUNTRYSIDE CONTEXTS USING COSMO-SKYMED SAR IMAGERY
Michele Boella, Emanuele Giorgi, Ilaria Pennino, Francesco Delogu, Lorenzo Manunza, NeMeA Sistemi srl, Italy
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