The geodesic distance between I0 models and its application to region discrimination

"The I0 distribution is able to characterize different regions in monopolarized SAR imagery. It is indexed by three parameters: the number of looks (which can be estimated in the whole image), a scale parameter, and a texture parameter. This paper presents a new proposal for feature extraction...

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Detalles Bibliográficos
Autores principales: Naranjo-Torres, José, Gambini, Juliana, Frery, Alejandro C.
Formato: Artículos de Publicaciones Periódicas acceptedVersion
Lenguaje:Inglés
Publicado: 2019
Materias:
GEODESIA
RADAR DE APERTURA SINTETICA
DISTRIBUCION
EXTRACCION DE CARACTERISTICAS
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/1723
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-1723
record_format dspace
spelling I32-R138-123456789-17232022-12-07T13:06:58Z The geodesic distance between I0 models and its application to region discrimination Naranjo-Torres, José Gambini, Juliana Frery, Alejandro C. GEODESIA RADAR DE APERTURA SINTETICA DISTRIBUCION EXTRACCION DE CARACTERISTICAS "The I0 distribution is able to characterize different regions in monopolarized SAR imagery. It is indexed by three parameters: the number of looks (which can be estimated in the whole image), a scale parameter, and a texture parameter. This paper presents a new proposal for feature extraction and region discrimination in SAR imagery, using the geodesic distance as a measure of dissimilarity between I0 models. We derive geodesic distances between models that describe several practical situations, assuming the number of looks known, for same and different texture and for same and different scale. We then apply this new tool to the problems of identifying edges between regions with different texture, and quantify the dissimilarity between pairs of samples in actual SAR data. We analyze the advantages of using the geodesic distance when compared to stochastic distances." 2019-08-21T15:29:45Z 2019-08-21T15:29:45Z 2017-03 Artículos de Publicaciones Periódicas info:eu-repo/semantics/acceptedVersion 1939-1404 http://ri.itba.edu.ar/handle/123456789/1723 en info:eu-repo/semantics/altIdentifier/doi/10.1109/JSTARS.2017.2647846 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
RADAR DE APERTURA SINTETICA
DISTRIBUCION
EXTRACCION DE CARACTERISTICAS
spellingShingle GEODESIA
RADAR DE APERTURA SINTETICA
DISTRIBUCION
EXTRACCION DE CARACTERISTICAS
Naranjo-Torres, José
Gambini, Juliana
Frery, Alejandro C.
The geodesic distance between I0 models and its application to region discrimination
topic_facet GEODESIA
RADAR DE APERTURA SINTETICA
DISTRIBUCION
EXTRACCION DE CARACTERISTICAS
description "The I0 distribution is able to characterize different regions in monopolarized SAR imagery. It is indexed by three parameters: the number of looks (which can be estimated in the whole image), a scale parameter, and a texture parameter. This paper presents a new proposal for feature extraction and region discrimination in SAR imagery, using the geodesic distance as a measure of dissimilarity between I0 models. We derive geodesic distances between models that describe several practical situations, assuming the number of looks known, for same and different texture and for same and different scale. We then apply this new tool to the problems of identifying edges between regions with different texture, and quantify the dissimilarity between pairs of samples in actual SAR data. We analyze the advantages of using the geodesic distance when compared to stochastic distances."
format Artículos de Publicaciones Periódicas
acceptedVersion
author Naranjo-Torres, José
Gambini, Juliana
Frery, Alejandro C.
author_facet Naranjo-Torres, José
Gambini, Juliana
Frery, Alejandro C.
author_sort Naranjo-Torres, José
title The geodesic distance between I0 models and its application to region discrimination
title_short The geodesic distance between I0 models and its application to region discrimination
title_full The geodesic distance between I0 models and its application to region discrimination
title_fullStr The geodesic distance between I0 models and its application to region discrimination
title_full_unstemmed The geodesic distance between I0 models and its application to region discrimination
title_sort geodesic distance between i0 models and its application to region discrimination
publishDate 2019
url http://ri.itba.edu.ar/handle/123456789/1723
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