A hybrid AI system combines super-resolution, YOLO-based detection, and vision-language models to semantically classify building damage severity in pre- and post-disaster satellite images.
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From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery
A hybrid AI system combines super-resolution, YOLO-based detection, and vision-language models to semantically classify building damage severity in pre- and post-disaster satellite images.