Flooded Building Segmentation
2 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Flooded Building Segmentation
Most implemented papers
Multi$^{\mathbf{3}}$Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery
FrontierDevelopmentLab/multi3net
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We propose a novel approach for rapid segmentation of flooded buildings by fusing multiresolution, multisensor, and multitemporal satellite imagery in a convolutional neural network.
Flood-DamageSense: Multimodal Mamba with Multitask Learning for Building Flood Damage Assessment using SAR Remote Sensing Imagery
violayhho/flood-damagesense
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Most post-disaster damage classifiers succeed only when destructive forces leave clear spectral or structural signatures -- conditions rarely present after inundation.
