Review
Open access
Jul 2026
Graph-Attention Network for Spatially-Aware Post-Hurricane Building Damage Assessment from UAV Imagery
A novel approach that leverages Graph Attention Networks (GATs) to explicitly model spatial dependencies when evaluating building damage achieves superior performance in building damage classification compared to state-of-the-art CNN-based approaches, producing more coherent and accurate damage maps better suited to real-world disaster management scenarios.
Fuad Hasan, C. Yeum, Ali Lesani et al.
· ISPRS Annals of the Photogra... · 1 citation