Just Project! Multi-Channel Despeckling, the Easy Way
<|reference_start|>Just Project! Multi-Channel Despeckling, the Easy Way: 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.<|reference_end|>
@article{denis2024just,
    title={Just Project! Multi-Channel Despeckling, the Easy Way},
    author={Lo"ic Denis, Emanuele Dalsasso (EPFL), Florence Tupin (IMAGES, IDS)},
    journal={arXiv preprint arXiv:2408.11531},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.11531},
    primaryClass={cs.CV eess.SP}
}