Fusing VV and VH SAR polarizations via deep learning segmentation yields higher IoU and F1 scores than single-polarization baselines, especially in vegetated flood zones.
Improving pixel-based change detection accuracy using an object-based approach in multitemporal SAR flood images
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Cross-Polarization Fusion of VV AND VH SAR Observations for Improved Flood Mapping
Fusing VV and VH SAR polarizations via deep learning segmentation yields higher IoU and F1 scores than single-polarization baselines, especially in vegetated flood zones.