SPECKLE NOISE REDUCTION IN SAR IMAGES USING INFORMATION THEORY

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...

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Bibliographic Details
Published inInternational archives of the photogrammetry, remote sensing and spatial information sciences. Vol. XLII-3/W12-2020; pp. 141 - 146
Main Authors Chan, D., Gambini, J., Frery, A. C.
Format Journal Article Conference Proceeding
LanguageEnglish
Published Gottingen Copernicus GmbH 01.01.2020
Copernicus Publications
Subjects
Entropy
Image filters
Information theory
Noise reduction
Signal to noise ratio
Statistical methods
Statistical tests
Synthetic aperture radar
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Summary: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.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.
ISSN:2194-9034
1682-1750
2194-9034
DOI:10.5194/isprs-archives-XLII-3-W12-2020-141-2020