Multitemporal SAR Image Despeckling Based on Block-Matching and Collaborative Filtering

Abstract : We propose a despeckling algorithm for multitemporal synthetic aperture radar (SAR) images based on the concepts of block-matching and collaborative filtering. It relies on the nonlocal approach, and it is the extension of SAR-BM3D for dealing with multitemporal data. The technique comprises two passes, each one performing grouping, collaborative filtering, and aggregation. In particular, the first pass performs both the spatial and temporal filtering, while the second pass only the spatial one. To avoid increasing the computational cost of the technique, we resort to lookup tables for the distance computation in the block-matching phases. The experiments show that the proposed algorithm compares favorably with respect to state-of-the-art reference techniques, with better results both on simulated speckled images and on real multitemporal SAR images.
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Submitted on : Thursday, February 15, 2018 - 5:20:56 PM
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Giovanni Chierchia, Mireille Gheche, Giuseppe Scarpa, Luisa Verdoliva. Multitemporal SAR Image Despeckling Based on Block-Matching and Collaborative Filtering. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2017, 55 (10), pp.5467 - 5480. ⟨10.1109/TGRS.2017.2707806⟩. ⟨hal-01710027⟩

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