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 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 hav...

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Autores principales: Chan, Debora, Gambini, Juliana, Frery, Alejandro C.
Formato: Ponencias en Congresos acceptedVersion
Lenguaje:Inglés
Publicado: 2020
Materias:
ENTROPIA
FILTROS
RADAR DE APERTURA SINTETICA
RUIDO
DISTRIBUCION
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/3258
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-3258
record_format dspace
spelling I32-R138-123456789-32582022-12-07T14:14:00Z Speckle noise reduction in SAR images using information theory Chan, Debora Gambini, Juliana Frery, Alejandro C. ENTROPIA FILTROS RADAR DE APERTURA SINTETICA RUIDO DISTRIBUCION "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." 2020-12-17T14:56:51Z 2020-12-17T14:56:51Z 2020 Ponencias en Congresos info:eu-repo/semantics/acceptedVersion http://ri.itba.edu.ar/handle/123456789/3258 en info:eu-repo/semantics/altIdentifier/doi/10.1109/LAGIRS48042.2020.9165582 application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic ENTROPIA
FILTROS
RADAR DE APERTURA SINTETICA
RUIDO
DISTRIBUCION
spellingShingle ENTROPIA
FILTROS
RADAR DE APERTURA SINTETICA
RUIDO
DISTRIBUCION
Chan, Debora
Gambini, Juliana
Frery, Alejandro C.
Speckle noise reduction in SAR images using information theory
topic_facet ENTROPIA
FILTROS
RADAR DE APERTURA SINTETICA
RUIDO
DISTRIBUCION
description "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."
format Ponencias en Congresos
acceptedVersion
author Chan, Debora
Gambini, Juliana
Frery, Alejandro C.
author_facet Chan, Debora
Gambini, Juliana
Frery, Alejandro C.
author_sort Chan, Debora
title Speckle noise reduction in SAR images using information theory
title_short Speckle noise reduction in SAR images using information theory
title_full Speckle noise reduction in SAR images using information theory
title_fullStr Speckle noise reduction in SAR images using information theory
title_full_unstemmed Speckle noise reduction in SAR images using information theory
title_sort speckle noise reduction in sar images using information theory
publishDate 2020
url http://ri.itba.edu.ar/handle/123456789/3258
work_keys_str_mv AT chandebora specklenoisereductioninsarimagesusinginformationtheory
AT gambinijuliana specklenoisereductioninsarimagesusinginformationtheory
AT freryalejandroc specklenoisereductioninsarimagesusinginformationtheory
_version_ 1765660987782856704

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