Large-scale Building Damage Assessment using a Novel Hierarchical Transformer Architecture on Satellite Images. (arXiv:2208.02205v2 [cs.CV] UPDATED)

This paper presents DAHiTrA, a novel deep-learning model with hierarchical
transformers to classify building damages based on satellite images in the
aftermath of natural disasters. Satellite imagery provides real-time and
high-coverage information and offers opportunities to inform large-scale
post-disaster building damage assessment, which is critical for rapid emergency
response. In this work, a novel transformer-based network is proposed for
assessing building damage. This network leverages hierarchical spatial features
of multiple resolutions and captures temporal difference in the feature domain
after …

architecture arxiv building hierarchical images satellite satellite images scale transformer transformer architecture