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Building Damage Assessment

Predicting building damage levels from earth observation data

Papers

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Showing 26–32 of 32 papers

TitleStatusHype
DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imagery—0
Dual-Tasks Siamese Transformer Framework for Building Damage Assessment—0
Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach—0
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event—0
RescueNet: Joint Building Segmentation and Damage Assessment from Satellite Imagery—0
SiamixFormer: a fully-transformer Siamese network with temporal Fusion for accurate building detection and change detection in bi-temporal remote sensing images—0
AB2CD: AI for Building Climate Damage Classification and Detection—0
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