AI RESEARCH
Cross-Polarization Fusion of VV AND VH SAR Observations for Improved Flood Mapping
arXiv CS.CV
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ArXi:2605.02153v1 Announce Type: new Synthetic Aperture Radar (SAR) imagery is widely used for flood monitoring due to its all-weather and day-night imaging capability. However, flood mapping using single-polarization SAR data remains challenging in complex environments where surface and volume scattering coexist. In this paper, we investigate the effectiveness of cross-polarization fusion of VV and VH SAR observations for improved flood mapping. A deep learning-based segmentation framework is employed to jointly exploit complementary information from VV and VH polarizations.