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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
Flood-DamageSense: Multimodal Mamba with Multitask Learning for Building Flood Damage Assessment using SAR Remote Sensing ImageryCode0
Now you see it, Now you don't: Damage Label Agreement in Drone & Satellite Post-Disaster ImageryCode0
DamageCAT: A Deep Learning Transformer Framework for Typology-Based Post-Disaster Building Damage CategorizationCode0
Benchmarking Attention Mechanisms and Consistency Regularization Semi-Supervised Learning for Post-Flood Building Damage Assessment in Satellite Images—0
Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data—0
CRASAR-U-DROIDs: A Large Scale Benchmark Dataset for Building Alignment and Damage Assessment in Georectified sUAS Imagery—0
DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imagery—0
Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach—0
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
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