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SAR image despeckling is a fundamental problem which degrades the performances of SAR image automated analysis and information extraction. In this paper, we proposed an SAR image despeckling algorithm by iterative non-local low-rank constraint. Dual weights are used to make the best use of the non-local similarity relation. Logarithmic transform is firstly applied to gain independent variance noise...
Speckle existed in SAR image is an undesirable product of specific imaging principle which influences SAR image interpretation and processing. In this paper, a new SAR image denoising algorithm has been proposed combining cluster with sparse representation under the non-local methodology. Due to the similar clustered patches, the sparsity coding of clustered patches is sparser. And clustered patches...
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