TUPB.PA.88: ADVERSARIAL ATTACKS WITH POLARIMETRIC FEATURE CONSTRAINTS: A FOCUSED APPROACH IN POLSAR IMAGE CLASSIFICATION
Jiyuan Liu, Shanghai Jiao Tong University, China; Mingkang Xiong, Midea Group, China; Zhenghong Zhang, Tao Zhang, Huilin Xiong, Shanghai Jiao Tong University, China
TUPB.PA.89: BETA MIXTURE MODEL AND BOUNDARY AMPLIFICATION GUIDED LABEL NOISE MITIGATION FOR POLSAR IMAGE CLASSIFICATION
Xiaowei Lin, Yanjing Ma, Jifang Pei, Weibo Huo, Junjie Wu, Yin Zhang, Yulin Huang, Jianyu Yang, School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu, China, China
TUPB.PA.91: CNN-ENHANCED DEEP SPARSE REPRESENTATION NETWORK FOR POLARIMETRIC SAR IMAGE CLASSIFICATION
Junfei Shi, Mengmeng Nie, Haiyan Jin, Junhuai Li, Yuanlin Zhang, Xi’an University of Technology, China
TUPB.PA.92: POLSAR CLASSIFICATION ASSESSMENT FOR DEEP LEARNING DESPECKLING FILTER
Xialei Lu, Giampaolo Ferraioli, Vito Pascazio, Sergio Vitale, Wenyu Yang, Università di Napoli Parthenope, Italy; Hossein Aghababaei, University of Twente, Netherlands
TUPB.PA.93: A STUDY OF RECOVERING QUAD-POLARIMETRIC INFORMATION FROM SLC/MLC COMPACT-POLARIMETRIC SAR DATA VIA CNNS
Xinling Du, Weidong Sun, Jie Yang, Lingli Zhao, Lei Shi, Wuhan university, China
TUPB.PA.94: PolSARConvMixer: A Channel and Spatial Mixing Convolutional Algorithm for PolSAR data Classification
Ali Jamali, Simon Fraser University, Canada; Swalpa Kumar Roy, Alipurduar Government Engineering, India; Bing Lu, Simon Fraser University, Canada; Avik Bhattacharya, Indian Institute of Technology Bombay, India; Pedram Ghamisi, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Germany
TUPB.PA.95: A DUAL-BRANCH RANDOM MASK ALIGNMENT FRAMEWORK FOR SEMI-SUPERVISED POLSAR TERRAIN CLASSIFICATION
Tianquan Bian, Zhuangzhuang Sun, Xidian University, China; Shi Liang, PIESAT Information Technology Co., Ltd., China; Shuang Wang, Dou Quan, Yanhe Guo, Xidian University, China
