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arXiv — cs.AI preprintsInternational5 October 2026

Embedded Bi-Temporal Building Damage Assessment for On-Board Data Reduction

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arXiv:2609.37013v2 Announce Type: replace-cross Abstract: Rapid assessment of building damage after natural disasters is essential to support emergency response. Earth Observation satellites can acquire relevant imagery shortly after an event, but exploitation is limited by uplink and downlink capacity and by ground-processing latency. We address this with a bi-temporal building damage assessment pipeline built on a siamese detector derived from YOLOX, designed to compress information at both ends of the ground/space link. On the ground, pre-disaster reference images are encoded into a compact
— arXiv — cs.AI preprints

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