TH3.R6.4
Satellite-to-Street: Synthesizing Post-Disaster Views from Satellite Imagery via Generative Vision Models
Yifan Yang, Lei Zou, Wendy Jepson, Texas A&M University, United States
Session:
TH3.R6: Leveraging AI, LLMs, and Geospatial Technologies for Rapid and Explainable Post-Disaster Damage Intelligence Oral
Track:
Community Contributed Themes
Location:
Cardozo
Presentation Time:
Thursday, 13 August, 14:30 - 14:45
Session Co-Chairs:
XIAOJING HUANG, National University of Singapore and Phung Lai,
Presentation
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Session TH3.R6
TH3.R6.1: ASSESSING BUILDING DAMAGE USING PRE- AND POST-EARTHQUAKE HIGH-RESOLUTION OPTICAL SATELLITE IMAGERY
XIAOJING HUANG, Chenguang HOU, Qin ZHAO, Kim Hwa LIM, Leong Keong KWOH, Soo Chin LIEW, Centre for Remote Imaging, Sensing and Processing, Singapore
TH3.R6.2: TOPOMAMBA: LIGHTWEIGHT TOPOLOGY-AWARE VISION MAMBA FOR LANDSLIDE SEGMENTATION IN REMOTE SENSING IMAGERY
Ruixi Gong, Jian Zhou, Southwest University of Science and Technology, China; Dongyan Han, Xi’an Institute of Modern Control Technology, China; DongMei Deng, Southwest University of Science and Technology, China; Jinfu Li, Beijing Institute of Technology, China
TH3.R6.3: TOWARDS POST-DISASTER INTELLIGENCE WITH GENERATIVE EVIDENCE ENHANCEMENT VIA A UNIFIED MULTIMODAL MODEL
Weijie Yue, Zhongwei Si, Bolin Wu, Jiawei Wang, Beijing University of Posts and Telecommunications, China
TH3.R6.4: Satellite-to-Street: Synthesizing Post-Disaster Views from Satellite Imagery via Generative Vision Models
Yifan Yang, Lei Zou, Wendy Jepson, Texas A&M University, United States
TH3.R6.5: Rapid Flood Inventory in Khyber Pakhtunkhwa Using a Space-Symmetrical Hybrid Random Forest (SS-HRF) Model and Sentinel-1 Dual-Polarization SAR
Wajid Hussain, Bin Pan, Sajid Hussain, Wuhan University, China
Resources
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