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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
Towards Cross-Disaster Building Damage Assessment with Graph Convolutional NetworksCode0
Self-Supervised Learning for Building Damage Assessment from Large-scale xBD Satellite Imagery Benchmark DatasetsCode0
DamageCAT: A Deep Learning Transformer Framework for Typology-Based Post-Disaster Building Damage CategorizationCode0
Now you see it, Now you don't: Damage Label Agreement in Drone & Satellite Post-Disaster ImageryCode0
Flood-DamageSense: Multimodal Mamba with Multitask Learning for Building Flood Damage Assessment using SAR Remote Sensing ImageryCode0
Building Damage Annotation on Post-Hurricane Satellite Imagery Based on Convolutional Neural NetworksCode0
xFBD: Focused Building Damage Dataset and Analysis—0
An Attention-Based System for Damage Assessment Using Satellite Imagery—0
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
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