A self-supervised dense dilated convolutional network, trained to match two noisy versions of the same scene, achieves state-of-the-art SAR despeckling without clean ground truth targets.
A model for radar images and its application to adaptive digital filtering of multiplicative noise,
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Blind SAR Image Despeckling Using Self-Supervised Dense Dilated Convolutional Neural Network
A self-supervised dense dilated convolutional network, trained to match two noisy versions of the same scene, achieves state-of-the-art SAR despeckling without clean ground truth targets.