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arXiv · 2408.11531

Just Project! Multi-Channel Despeckling, the Easy Way

Loïc Denis·Emanuele Dalsasso·Florence Tupin
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Abstract

Reducing speckle fluctuations in multi-channel SAR images is essential in many applications of SAR imaging such as polarimetric classification or interferometric height estimation. While single-channel despeckling has widely benefited from the application of deep learning techniques, extensions to multi-channel SAR images are much more challenging. This paper introduces MuChaPro, a generic framework that exploits existing single-channel despeckling methods. The key idea is to generate numerous single-channel projections, restore these projections, and recombine them into the final multi-channel estimate. This simple approach is shown to be effective in polarimetric and/or interferometric modalities. A special appeal of MuChaPro is the possibility to apply a self-supervised training strategy to learn sensor-specific networks for single-channel despeckling.

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Loïc Denis, Emanuele Dalsasso, Florence Tupin. 2024-08-21. Just Project! Multi-Channel Despeckling, the Easy Way. https://arxiv.org/abs/2408.11531

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