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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
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
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
xFBD: Focused Building Damage Dataset and Analysis—0
Towards Cross-Disaster Building Damage Assessment with Graph Convolutional NetworksCode0
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
Now you see it, Now you don't: Damage Label Agreement in Drone & Satellite Post-Disaster ImageryCode0
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