Comparing samples from the 0 distribution using a geodesic distance

"The 0 distribution is widely used for monopolarized SAR image modeling because it can characterize regions with different degrees of texture accurately. It is indexed by three parameters: the number of looks (which can be estimated for the whole image), a scale parameter and a texture parame...

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Autores principales: Frery, Alejandro C., Gambini, Juliana
Formato: Artículos de Publicaciones Periódicas acceptedVersion
Lenguaje:Inglés
Publicado: 2020
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Acceso en línea:http://ri.itba.edu.ar/handle/123456789/1905
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id I32-R138-123456789-1905
record_format dspace
spelling I32-R138-123456789-19052022-12-07T13:05:58Z Comparing samples from the 0 distribution using a geodesic distance Frery, Alejandro C. Gambini, Juliana GEODESIA DISTRIBUCION MEDICION RADAR DE APERTURA SINTETICA "The 0 distribution is widely used for monopolarized SAR image modeling because it can characterize regions with different degrees of texture accurately. It is indexed by three parameters: the number of looks (which can be estimated for the whole image), a scale parameter and a texture parameter. This paper presents a new proposal for comparing samples from the 0 distribution using a geodesic distance (GD) as a measure of dissimilarity between models. The objective is quantifying the difference between pairs of samples from SAR data using both local parameters (scale and texture) of the 0 distribution. We propose three tests based on the GD which combine the tests presented in Naranjo-Torres et al. (IEEE J Sel Top Appl Earth Obs Remote Sens 10(3):987–997, 2017), and we estimate their probability distributions using permutation methods." 2020-03-18T11:42:52Z 2020-03-18T11:42:52Z 2020-06 Artículos de Publicaciones Periódicas info:eu-repo/semantics/acceptedVersion 1133-0686 http://ri.itba.edu.ar/handle/123456789/1905 en info:eu-repo/semantics/altIdentifier/doi/10.1007/s11749-019-00658-2 info:eu-repo/grantAgreement/CNPq/BR. Brasilia y info:eu-repo/grantAgreement/FAPEAL/BR. Alagoas. Maceió 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 GEODESIA
DISTRIBUCION
MEDICION
RADAR DE APERTURA SINTETICA
spellingShingle GEODESIA
DISTRIBUCION
MEDICION
RADAR DE APERTURA SINTETICA
Frery, Alejandro C.
Gambini, Juliana
Comparing samples from the 0 distribution using a geodesic distance
topic_facet GEODESIA
DISTRIBUCION
MEDICION
RADAR DE APERTURA SINTETICA
description "The 0 distribution is widely used for monopolarized SAR image modeling because it can characterize regions with different degrees of texture accurately. It is indexed by three parameters: the number of looks (which can be estimated for the whole image), a scale parameter and a texture parameter. This paper presents a new proposal for comparing samples from the 0 distribution using a geodesic distance (GD) as a measure of dissimilarity between models. The objective is quantifying the difference between pairs of samples from SAR data using both local parameters (scale and texture) of the 0 distribution. We propose three tests based on the GD which combine the tests presented in Naranjo-Torres et al. (IEEE J Sel Top Appl Earth Obs Remote Sens 10(3):987–997, 2017), and we estimate their probability distributions using permutation methods."
format Artículos de Publicaciones Periódicas
acceptedVersion
author Frery, Alejandro C.
Gambini, Juliana
author_facet Frery, Alejandro C.
Gambini, Juliana
author_sort Frery, Alejandro C.
title Comparing samples from the 0 distribution using a geodesic distance
title_short Comparing samples from the 0 distribution using a geodesic distance
title_full Comparing samples from the 0 distribution using a geodesic distance
title_fullStr Comparing samples from the 0 distribution using a geodesic distance
title_full_unstemmed Comparing samples from the 0 distribution using a geodesic distance
title_sort comparing samples from the 0 distribution using a geodesic distance
publishDate 2020
url http://ri.itba.edu.ar/handle/123456789/1905
work_keys_str_mv AT freryalejandroc comparingsamplesfromthe0distributionusingageodesicdistance
AT gambinijuliana comparingsamplesfromthe0distributionusingageodesicdistance
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