Armin Shmilovici

Framework for Cross-Disaster Building Damage Assessment Using Cost-Sensitive Learning

Rapid and reliable assessment of structural damage following disasters is critical for prioritizing rescue operations. In this study, we present a unified deep learning framework for building damage assessment from satellite imagery. The proposed approach integrates segmentation-...