MOP1.PE: Physics Aware AI Models for SAR Data Generation and Understanding: Towards Global Environmental Monitoring I
Monday, 4 August, 14:15 - 15:45
Location: Poster Area
Session Type: Poster
Session Co-Chairs: Zhongling Huang, NWPU and Mihai Datcu, Politehnica University of Bucharest
Track: Community-Contributed Sessions
Poster Area

MOP1.PE.1: Dynamic Information Dense Conditional Generation Network for SAR Moving Target Segmentation
Yifan Wu, Lijia Huang, Siyang You, Bingchen Zhang, Aerospace Information Research Institute, Chinese Academy of Sciences, China
Poster Area

MOP1.PE.2: Physical authenticity evaluation of SAR image via scattering center feature matching
Yihan Zhuang, Zhongling Huang, Northwestern Polytechnical University, China
Poster Area

MOP1.PE.3: Generating SAR Images Using Electromagnetically Simulated Generative Adversarial Networks

Jianyu Wang, Lei Chen, Hongwei Li, Ningning Zhang, Ning Wang, Siao Liu, China Telecom Company Limited, China
Poster Area

MOP1.PE.4: A MULTI-VIEW APPROACH FOR PHYSICALLY-GUIDED SAR IMAGE GENERATION BASED ON STYLEGAN2
Ran Yang, Tao Lai, Haifeng Huang, Sun Yat-sen University, China
Poster Area

MOP1.PE.5: A Segmentation Method for Ship and Chaff in Overlapping Scenarios of SAR Images Based on polarimetric Information
Yimin Yang, Ping Lang, Chong Wang, Yingzhu Zhao, Tsinghua University, China; Yanlei Du, Jian Yang, Chinese Academy of Sciences, China
Poster Area

MOP1.PE.6: Geometry Reconstruction of Few Views SAR Images Based on Differentiable Ray Tracing
Jiangtao Wei, Feng Xu, Fudan University, China