SPECKLE NOISE REDUCTION IN SAR IMAGES USING INFORMATION THEORY
D. Chan, J. Gambini, A. C. Frery
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences · 2020
doi:10.5194/isprs-archives-xlii-3-w12-2020-141-2020 (opens in a new tab)
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Abstract
<p>In this work, a new nonlocal means filter for single-look speckled data using the Shannon and Rényi entropies is proposed. The measure of similarity between a central window and patches of the image is based on a statistical test for comparing if two samples have the same entropy and hence have the same distribution.</p><p>The results are encouraging, as the filtered image has better signal-to-noise ratio, it preserves the mean, and the edges are not severely blurred.</p>
Abstract licence: CC BY
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