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
Session:
TH3.R11: Explainable, Physics-aware, and Trustworthy AI for SAR: Towards Digital Twin Earth I Oral
Track:
Community-Contributed Sessions
Location:
MC 3.2
Presentation Time:
Thu, 11 Jul, 15:22 - 15:36
Session Co-Chairs:
Zhongling Huang, Northwestern Polytechnical University and Mihai Datcu, University Politehnica of Bucharest
Presentation
Discussion
Resources
No resources available.
Session TH3.R11
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
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
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
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
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
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
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
Resources
No resources available.