AI RESEARCH
Optimizing Latent Representations for Robust Building Damage Assessment Onboard Earth Observation Satellites
arXiv CS.CV
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ArXi:2605.29575v1 Announce Type: new Rapid identification of damaged buildings after natural disasters or on war areas is crucial to emergency response and prioritize interventions. Earth Observation constellations provide timely, large-scale coverage, but actionable information is often delayed by data downlink constraints, on-ground processing, and human interpretation. Reducing this latency is essential to improve decision-making responsiveness.