Open access
Aug 2026
An Interpretable Transformer-Based Model for Post-Disaster Infrastructure Damage Assessment Using High-Resolution Remote Sensing Imagery
This study introduces a Post-Disaster Structural Damage Analysis using Remote Sensing Images (PDSDA-RSI) technique to design an explainable deep learning framework for detecting and assessing post-disaster structural damage from high-resolution remote sensing images.
Sariga Arjunan, N. Kumara M, J. Uthayakumar et al.
· VFAST Transactions on Softwa... · 0 citations