IEEE GRSS
First Slide
2026 IEEE International Geoscience and Remote Sensing Symposium
9 - 14 August 2026 • Washington, D.C.
TU3.R9: Physics-Informed Machine Learning in Remote Sensing (1/4)
Oral
Tue, 11 Aug, 13:45 - 15:00
Location: TBD
Session Type: Oral
Session Co-Chairs: Davide De Santis, and Grigorios Tsagkatakis,
Track: Community Contributed Themes
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Tue, 11 Aug, 13:45 - 14:00

TU3.R9.1: Physics-Integrated Deep Learning for Electromagnetic Inversion with Numerical Gradients: An LWD Case Study
Zhongrui Wang, University of Houston, United States; Hanming Wang, Chevron Technical Center, United States; Xiaotian Wang, Jiarui Lu, Jianfeng Zheng, University of Houston, United States
Tue, 11 Aug, 14:00 - 14:15

TU3.R9.2: Physics-Guided VAE with Refinement Networks and Extended Latent Space for Improved LAI Estimation
Kevin De Sousa, Jordi Inglada, Centre d’Etudes Spatiales de la Biosphère, France
Tue, 11 Aug, 14:15 - 14:30

TU3.R9.3: PHYSICS-INFORMED NEURAL NETWORKS FOR HYDROLOGICALLY DRIVEN SLOW-MOVING LANDSLIDE DISPLACEMENT MODELING USING INSAR TIME SERIES
Zhe Zhang, Xiaochuan Tang, Xuanmei Fan, Lei Zhang, Yifan Feng, Zhenlei Wei, Qing Pan, Chengdu University of Technology, China; Daniel Kibirige, University of Cape Town, South Africa; Filippo Catani, University of Padova, Italy
Tue, 11 Aug, 14:30 - 14:45

TU3.R9.4: PF-TRANS: PHYSICS-EMBEDDED FREQUENCY-AWARE TRANSFORMER FOR SPECTRAL RECONSTRUCTION
Yuzhe Gui, Tianzhu Liu, Yanfeng Gu, Xian Li, Harbin Institute of Technology, China
Tue, 11 Aug, 14:45 - 15:00

TU3.R9.5: PICSRL: PHYSICS-INFORMED CONTEXTUAL SPECTRAL REINFORCEMENT LEARNING
Mitra Nasr Azadani, Syed Usama Imtiaz, Nasrin Alamdari, Florida State University, United States