FR1.R11.1

PROPOSAL OF BIQUATERNION NEURAL NETWORKS FOR COHERENT PROCESSING OF POLARIZATION-AND-PHASE INFORMATION IN POLSAR AND POLINSAR

Yuta Otsuka, Ryo Natsuaki, Akira Hirose, The University of Tokyo, Japan
Session:
FR1.R11: Physics Informed Artificial Intelligence for Synthetic Aperture Radar Applications II Oral
Track:
Community-Contributed Sessions
Location:
Room 106
Presentation Time:
Fri, 21 Jul, 08:30 - 08:42 Pacific Time (UTC -8)
Session Chair:
Mihai Datcu, ROSA
Session Manager:
Sumesh K C 0
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Session FR1.R11
FR1.R11.1: PROPOSAL OF BIQUATERNION NEURAL NETWORKS FOR COHERENT PROCESSING OF POLARIZATION-AND-PHASE INFORMATION IN POLSAR AND POLINSAR
Yuta Otsuka, Ryo Natsuaki, Akira Hirose, The University of Tokyo, Japan
FR1.R11.2: SELF-SUPERVISED SAR ANOMALY DETECTION GUIDED WITH RX DETECTOR
Max Muzeau, ONERA / Centralesupelec, France; Chengfang Ren, Centralesupelec, France; Sebastien Angelliaume, ONERA, France; Mihai Dactu, German aerospace center, Germany; Jean-Philippe Ovarlez, ONERA / Centralesupelec, France
FR1.R11.3: TOMOGRAPHIC IMAGING WITH ENHANCED SPATIAL STRUCTURES VIA A PHYSICS-AWARE 3D RECONSTRUCTION NETWORK
Xiangdong Ma, Xiaoling Zhang, Yu Ren, Xu Zhan, Jun Shi, Shunjun Wei, Tianjiao Zeng, University of Electronic Science and Technology of China, China
FR1.R11.4: A NEW PERSPECTIVE ON PHYSICS GUIDED LEARNING FOR SAR IMAGE INTERPRETATION
Zishi Wang, Zhongling Huang, Northwestern Polytechnical University, China; Mihai Datcu, Politehnica University of Bucharest (UPB), Romania
FR1.R11.5: PHYSICS-BASED ML AND POLARIMETRIC SAR FOR SOIL MOISTURE RETRIEVAL
Lorenzo Giuliano Papale, Fabio Del Frate, Leila Guerriero, Giovanni Schiavon, Tor Vergata University of Rome, Italy; Jean Bouchat, Earth and Life Institute, Universitè catholique de Louvain, Louvain-la-Nueve, Belgium, Belgium
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