TUP1.PA: Physics-Informed Machine Learning in Remote Sensing II
Tuesday, 5 August, 09:15 - 10:30
Location: Poster Area
Session Type: Poster
Session Co-Chairs: Grigorios Tsagkatakis, FORTH and Davide De Santis, Tor Vergata University of Rome
Track: Community-Contributed Sessions
Poster Area

TUP1.PA.1: Physics inspired hybrid attention for SAR target recognition

Zhongling Huang, Chong Wu, Xiwen Yao, Northwestern Polytechnical University, China; Zhicheng Zhao, Anhui University, China; Xiankai Huang, Beijing Technology and Business University, China; Junwei Han, Northwestern Polytechnical University, China
Poster Area

TUP1.PA.2: Integrating Machine Learning and Numerical Solvers: A Comparative Study of Physics-Informed Neural Networks and ANUGA Hydro for Flood Modeling

Girishchandra Yendargaye, Upasana Dutta, Yogesh Singh, T. S. Murugesh Prabhu, Centre for Development of Advanced Computing (C-DAC), India
Poster Area

TUP1.PA.3: PHYSICS-INFORMED MACHINE LEARNING OFFERS MUTI-SCALE REMOTE ESTIMATION OF WHEAT BIOMASS DYNAMICS

Qiaomin Chen, Zhi Chen, The University of Queensland, Australia; Pengcheng Hu, Bangyou Zheng, Commonwealth Scientific and Industrial Research Organization, Australia; Daniel T.L. Smith, Javier Fernandez, The University of Queensland, Australia; Ismail I. Garba, Commonwealth Scientific and Industrial Research Organization, Australia; Scott C. Chapman, The University of Queensland, Australia
Poster Area

TUP1.PA.4: Uncertainty-Aware Flood Segmentation from Sentinel 2 Observations with Conformal Prediction

Ioannis Konidakis, Foundation for Research and Technology - Hellas, Greece, Greece; Klea Panayidou, European University Cyprus, Cyprus; Grigorios Tsagkatakis, Panagiotis Tsakalides, Foundation for Research and Technology - Hellas, Greece, Greece
Poster Area

TUP1.PA.5: PHYSICS-BASED MACHINE LEARNING APPROACH FOR ESTIMATING TROPICAL CYCLONE INTENSITY IN THE NORTH ATLANTIC

Dae-Hui Kim, Elizabeth A. Ritchie, J. Scott Tyo, Mehrtash Harandi, Monash University, Australia
Poster Area

TUP1.PA.6: SSL-SFE: A SELF-SUPERVISED LEARNING-BASED SCATTERING FEATURE EXTRACTION METHOD

Jisen Jin, The National Key Laboratory of Radar Signal Processing Xidian University, China; Jinsong Zhang, Academy of Advanced Interdisciplinary Research Xidian University, China; Mengdao Xing, Qing Han, Yu Ke, The National Key Laboratory of Radar Signal Processing Xidian University, China; Jiapeng Wen, Academy of Advanced Interdisciplinary Research Xidian University, China