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dc.contributor.authorNaranjo-Torres, José
dc.contributor.authorGambini, Juliana
dc.contributor.authorFrery, Alejandro C.
dc.date.accessioned2019-08-21T15:29:45Z
dc.date.available2019-08-21T15:29:45Z
dc.date.issued2017-03
dc.identifier.issn1939-1404
dc.identifier.urihttp://ri.itba.edu.ar/handle/123456789/1723
dc.description.abstract"The 𝒢I0 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 𝒢I0 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."en
dc.language.isoenen
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/10.1109/JSTARS.2017.2647846es
dc.subjectGEODESIAes
dc.subjectRADAR DE APERTURA SINTETICAes
dc.subjectDISTRIBUCIONes
dc.titleThe geodesic distance between 𝒢I0 models and its application to region discriminationen
dc.typeArtículos de Publicaciones Periódicases
dc.typeinfo:eu-repo/semantics/acceptedVersion
itba.description.filiationFil: Naranjo-Torres, José. Instituto Universitario de Tecnología de Maracaibo; Venezuela.es
itba.description.filiationFil: Gambini, Juliana. Instituto Tecnológico de Buenos Aires; Argentina.es
itba.description.filiationFil: Gambini, Juliana. Universidad Nacional de Tres de Febrero; Argentina.es
itba.description.filiationFil: Frery, Alejandro C. Universidade Federal de Alagoas; Brasil.es


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