TH3.R11: Explainable, Physics-aware, and Trustworthy AI for SAR: Towards Digital Twin Earth I
Thu, 11 Jul, 14:40 - 16:20
Location: MC 3.2
Session Type: Oral
Session Co-Chairs: Zhongling Huang, Northwestern Polytechnical University and Mihai Datcu, University Politehnica of Bucharest
Track: Community-Contributed Sessions
Thu, 11 Jul, 14:40 - 14:54

TH3.R11.1: AN ENHANCEMENT STRATEGY FOR WISHART CLASSIFIER IN DUAL-BAND AND DUAL-POL SAR CLASSIFICATION
Yinghao Hu, Yuanhao Li, Zhiyang Chen, Cheng Hu, Beijing Institute of Technology, China
Thu, 11 Jul, 14:54 - 15:08

TH3.R11.2: A SEMANTIC SEGMENTATION METHOD FOR SAR IMAGE WITH ASSISTANCE OF SELF-SUPERVISED SCENE CLASSIFICATION
Yang Cheng, Chenxuan Li, Zenghui Zhang, Wenxian Yu, Shanghai Jiao Tong University, China
Thu, 11 Jul, 15:08 - 15:22

TH3.R11.3: Adversarial Robustness of Deep Learning Methods for SAR Image Classification: An Explainability View
Tianrui Chen, Juanping Wu, Shanghai Jiao Tong University, China; Weiwei Guo, Tongji University, China; Zenghui Zhang, Shanghai Jiao Tong University, China
Thu, 11 Jul, 15:22 - 15:36

TH3.R11.4: Differentiable SAR Renderer Embedded Reinforcement Learning for View Angles Inversion in SAR Images
Yanni Wang, Shilei Fu, Hecheng Jia, Huiping Lin, Feng Xu, Fudan University, China
Thu, 11 Jul, 15:36 - 15:50

TH3.R11.5: A CAUSALITY-ERASING BASELINE VALUES OF SHAP METHOD FOR ENHANCING EXPLAINABLE DEEP NETWORKS IN SAR TARGET CLASSIFICATION
Zhiyuan Yang, Zongyong Cui, Zongjie Cao, University of Electronic Science and Technology of China School of Information and Communication, China
Thu, 11 Jul, 15:50 - 16:04

TH3.R11.6: COMPLEX-VALUED NEURAL-NETWORK INVERSE MAPPING FOR EXPLAINABILITY IN POLSAR/INSAR APPLICATIONS
Gunjan Joshi, Ryo Natsuaki, Akira Hirose, The University of Tokyo, Japan
Thu, 11 Jul, 16:04 - 16:18

TH3.R11.7: INTERPRETABLE ATTRIBUTED SCATTERING CENTER EXTRACTED VIA DEEP UNFOLDING
Haodong Yang, Zhongling Huang, Northwestern Polytechnical University, China; Zhe Zhang, Chinese Academy of Sciences, China