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Evidence record 5036 · automatically gathered

Cross-Polarization Fusion of VV AND VH SAR Observations for Improved Flood Mapping

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 complement

Record details

Published: 4 May 2026
Source: arXiv
Category: Research
Topics: Environment · Finance, VC & PE
Retrieved: 14 July 2026

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These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (4 May 2026), “Cross-Polarization Fusion of VV AND VH SAR Observations for Improved Flood Mapping,” evidence record 5036, https://ethics.ai/record/5036 (originally published by arXiv).

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