Shivam Shrivastava

Post-Disaster Damage Assessment from High-Resolution Satellite Imagery using Dilated LinkNet Hierarchical Radon Transformer

Effective post-disaster damage assessment is critical for supporting timely disaster response and recovery efforts. To address the challenges of large-scale damage analysis, in this study, we propose a novel deep learning model, the Dilated LinkNet Hierarchical Radon Transformer (DL-HRT) network. The DL-HRT network int...