TH1.R3.1: EDGE DETECTION IN SAR IMAGES WITH DEEP LEARNING: THE COMBINATION OF A RATIO OPERATOR AND FULLY CONVOLUTIONAL NEURAL NETWORKS
Chenguang Liu, Chisheng Wang, Shenzhen University, China; Xiangli Yang, Chongqing Jiaotong University, China; Dejin Zhang, Shenzhen University, China; Hong Sun, Wuhan University, China; Rui Ge, Shenzhen University, China; Shuo Chen, Ping An Bank Co., Ltd, China; Qingquan Li, Shenzhen University, China
TH1.R3.2: AN EDGE RESTORATION METHOD FOR MICROWAVE PHOTONIC INVERSE SYNTHETIC APERTURE RADAR BASED ON MORPHOLOGICAL THEORY
Zhaoyi Shao, Yu Hai, Junjie Wu, Hongyang An, Jianyu Yang, University of Electronic Science and Technology of China, China
TH1.R3.3: EXPLORING THE ROBUSTNESS OF DEEP IMAGE DESPECKLING MODELS IN AN ADVERSARIAL PERSPECTIVE
Jie Ning, Yao Li, Zhichang Guo, Jiebao Sun, Shengzhu Shi, Enzhe Zhao, Boying Wu, Harbin Institute of Technology, China
TH1.R3.4: SELF-NORMALIZING ENHANCED GENERATIVE ADVERSARIAL NETWORK RECONSTRUCTION FOR SAR IMAGE ENHANCEMENT
Yunfei Zhu, Yulin Huang, Deqing Mao, Mingjie Yang, Wenjing Wang, Yongchao Zhang, University of Electronic Science and Technology of China, China
TH1.R3.6: STATISTICAL CHARACTERIZATION OF POLARIMETRIC TIME-FREQUENCY COHERENT INDICATOR
Canbin Hu, Hongyun Chen, Xiaokun Sun, Zekai Yun, Beijing University of Chemical Technology, China; Laurent Ferro-Famil, University of Toulouse, France; ,
