Speckle noise reduction in SAR images using information theory

Chan, Debora et al · RI ITBA · 2020

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Chan, Debora et al

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RI ITBA

Year

2020

Language

English

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"In this work, a new nonlocal means filter for single-look speckled data using the Shannon and Renyi 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."

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APA 7

Chan, D. E. A. (2020). Speckle noise reduction in SAR images using information theory. RI ITBA. http://ri.itba.edu.ar/handle/20.500.14769/3258

MLA

Chan, Debora et al. Speckle noise reduction in SAR images using information theory. RI ITBA, 2020. http://ri.itba.edu.ar/handle/20.500.14769/3258.

Chicago

Chan, Debora et al. 2020. Speckle noise reduction in SAR images using information theory. RI ITBA. http://ri.itba.edu.ar/handle/20.500.14769/3258.

Harvard

Chan, D. E. A. 2020, Speckle noise reduction in SAR images using information theory, RI ITBA, available at: http://ri.itba.edu.ar/handle/20.500.14769/3258 [Accessed 7 Aug. 2026].

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Title: Speckle noise reduction in SAR images using information theory

Author / contributors: Chan, Debora et al

Publisher: RI ITBA

Publication year: 2020

Language: English

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ENTROPIA; FILTROS; RADAR DE APERTURA SINTETICA; RUIDO; DISTRIBUCION