Denoising of full resolution differential SAR interferogram based on K-SVD technique

The aim of this paper is to demonstrate the applicability of sparse representation to filter out the noise from SAR interferograms. More specifically, we consider an innovative approach for interferometric phase denoising, based on K-SVD technique applied to SAR interferograms, for estimating the noise-free underlying structure of the phase information. To examine the effectiveness of th is approach, the method has been successfully tested both on simulated and real interferograms. In the latter case, the proposed approach has been evaluated using ENVISAT SAR data acquired over the area of Napoli (Italy). The good results achieved applying the proposed method demonstrate its effectiveness for denoising SAR interferograms.

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