Rapid Damage Characterization of Critical Infrastructure in Conflict Zones Using Remote Sensing and Deep Learning

This paper proposes an integrated framework that leverages remote sensing technologies, deep learning, and open-source data to rapidly characterize damage to critical infrastructure, such as bridges, at regional, asset, and component scales in conflict-prone regions.