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Building Damage Assessment

Predicting building damage levels from earth observation data

Papers

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Showing 21–30 of 32 papers

TitleStatusHype
Building Damage Mapping with Self-PositiveUnlabeled Learning—0
Causality-informed Rapid Post-hurricane Building Damage Detection in Large Scale from InSAR Imagery—0
Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment—0
CRASAR-U-DROIDs: A Large Scale Benchmark Dataset for Building Alignment and Damage Assessment in Georectified sUAS Imagery—0
Cross-directional Feature Fusion Network for Building Damage Assessment from Satellite Imagery—0
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
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