International Geoscience and
Remote Sensing Symposium
Theme Tag Line
WE4.R15.5
Normalizing Flow-based Deep Variational Bayesian Network for Seismic Multi-hazards and Impacts Estimation from InSAR Imagery
Xuechun Li, Stony Brook University, United States; Paula Burgi, U.S. Geological Survey, United States; Wei Ma, Hong Kong Poly University, Hong Kong SAR China; Hae Young Noh, Stanford University, United States; David Wald, U.S. Geological Survey, United States; Susu Xu, Stony Brook University, United States
Session:
WE4.R15: Machine Learning and Remote Sensing Data for Rapid Disaster Response II Oral
Track:
Community-Contributed Sessions
Location:
Room F
Presentation Time:
Wed, 19 Jul, 16:33 - 16:45 Pacific Time (UTC -7)
Session Co-Chairs:
Marc Wieland, German Aerospace Center (DLR) and Nina Merkle, German Aerospace Center (DLR)