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Building Damage Assessment

Predicting building damage levels from earth observation data

Papers

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Showing 11–20 of 32 papers

TitleStatusHype
Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach—0
ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space ModelCode4
Learning Efficient Unsupervised Satellite Image-based Building Damage DetectionCode1
Causality-informed Rapid Post-hurricane Building Damage Detection in Large Scale from InSAR Imagery—0
AB2CD: AI for Building Climate Damage Classification and Detection—0
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event—0
xFBD: Focused Building Damage Dataset and Analysis—0
Large-scale Building Damage Assessment using a Novel Hierarchical Transformer Architecture on Satellite ImagesCode1
SiamixFormer: a fully-transformer Siamese network with temporal Fusion for accurate building detection and change detection in bi-temporal remote sensing images—0
Self-Supervised Learning for Building Damage Assessment from Large-scale xBD Satellite Imagery Benchmark DatasetsCode0
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