Preprint
Aug 2026
DamageScope: Vision-Language Retrieval at Scale for Disaster Damage Assessment from Satellite Imagery
DamageScope is a retrieval-augmented framework that combines satellite imagery with Vision-Language Models (VLMs) and Large Language Models (LLMs) to automate property damage analysis and introduces a novel multi-vector embedding-based clustering algorithm that outperforms traditional single-vector embedding approaches while reducing indexing time by up to 14x.
Ravi K. Rajendran, Biplob Debnath, Murugan Sankaradas et al.
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