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
Session:
MOP1.PE: Physics Aware AI Models for SAR Data Generation and Understanding: Towards Global Environmental Monitoring I Poster
Track:
Community-Contributed Sessions
Location:
Poster Area
Presentation Time:
Monday, 4 August, 14:15 - 15:45
Session Co-Chairs:
Zhongling Huang, NWPU and Mihai Datcu, Politehnica University of Bucharest
Presentation
Discussion
Resources
No resources available.
Session MOP1.PE
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
MOP1.PE.2: Physical authenticity evaluation of SAR image via scattering center feature matching
Yihan Zhuang, Zhongling Huang, Northwestern Polytechnical University, China
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
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
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
MOP1.PE.6: Geometry Reconstruction of Few Views SAR Images Based on Differentiable Ray Tracing
Jiangtao Wei, Feng Xu, Fudan University, China
Resources
No resources available.