WE4.R15.4
FLOOD DETECTION FROM SENTINEL-2 IMAGERY USING DIFFUSION-BASED SYNTHETIC DATA AUGMENTATION
Akanksha Pawar, Bettahalli N. Keshavamurthy, National Institute of Technology Goa, India, India
Session:
WE4.R15: Geo-foundation and generative models for EO-based informed disaster risk response Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Wed, 12 Aug, 17:00 - 17:15
Session Co-Chairs:
Getachew Workineh Gella, University of Salzburg and Stefan Lang, University of Salzburg
Presentation
Discussion
Resources
No resources available.
Session WE4.R15
WE4.R15.1: Towards Operational Readiness of Geospatial Foundation Model for Near Real-Time Earth Observation
Venkatesh Kolluru, Rajat Shinde, Abdelhak Marouane, Caden Helbling, University of Alabama in Huntsville, United States; Othneil Drew, Space and Earth Science Data Analysis, United States; Deepak Shah, Iksha Gurung, University of Alabama in Huntsville, United States; Manil Maskey, Rahul Ramachandran, NASA Marshall Space Flight Center, United States
WE4.R15.2: CROSS-VIEW IMAGE GEO-LOCALIZATION IN DISASTER SCENARIOS: MITIGATING DATA SCARCITY WITH GENERATED IMAGERY
Royston Rodrigues, NEC Corporation, Japan; Haoyu Li, The University of Tokyo, Japan
WE4.R15.3: CF-MAE: A CHANGE FUSED MASKED AUTOENCODER FOR EARTH OBSERVATION BASED MULTI-HAZARD CHANGE DETECTION
Ananda Krishnan, Getachew Workineh Gella, Bruno Menini Matosak, Stefan Lang, University of Salzburg, Austria
WE4.R15.4: FLOOD DETECTION FROM SENTINEL-2 IMAGERY USING DIFFUSION-BASED SYNTHETIC DATA AUGMENTATION
Akanksha Pawar, Bettahalli N. Keshavamurthy, National Institute of Technology Goa, India, India
Contacts