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.
Building damage detection via superpixel-based belief fu- sion of space-borne sar and optical images.IEEE Sensors Journal, 20(4):2008–2022
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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.