Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/50299
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dc.contributor.authorNaranjo-Torres, Joséen_US
dc.contributor.authorGambini, Julianaen_US
dc.contributor.authorFrery, Alejandro C.en_US
dc.contributor.otherFrery, Alejandro-
dc.contributor.otherNaranjo-Torres, Jose-
dc.date.accessioned2018-11-24T14:58:23Z-
dc.date.available2018-11-24T14:58:23Z-
dc.date.issued2017en_US
dc.identifier.issn1939-1404en_US
dc.identifier.urihttp://hdl.handle.net/10553/50299-
dc.description.abstractThe G I 0 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 G I 0 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_US
dc.languageengen_US
dc.publisher1939-1404-
dc.relation.ispartofIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensingen_US
dc.sourceIEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing[ISSN 1939-1404],v. 10 (3), p. 987-997en_US
dc.titleThe Geodesic Distance between G(I)(0) Models and its Application to Region Discriminationen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/JSTARS.2017.2647846en_US
dc.identifier.scopus85010678718-
dc.identifier.isi000395876100016-
dcterms.isPartOfIeee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing-
dcterms.sourceIeee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing[ISSN 1939-1404],v. 10 (3), p. 987-997-
dc.contributor.authorscopusid57193081720-
dc.contributor.authorscopusid22957750300-
dc.contributor.authorscopusid7003561251-
dc.description.lastpage997en_US
dc.identifier.issue7829340-
dc.identifier.issue3-
dc.description.firstpage987en_US
dc.relation.volume10en_US
dc.investigacionCienciasen_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000395876100016-
dc.contributor.daisngid22544990-
dc.contributor.daisngid3631718-
dc.contributor.daisngid215914-
dc.identifier.investigatorRIDA-8855-2008-
dc.identifier.investigatorRIDE-5540-2018-
dc.utils.revisionen_US
dc.identifier.ulpgcNoen_US
dc.contributor.buulpgcBU-BASen_US
dc.description.sjr1,547
dc.description.jcr2,777
dc.description.sjrqQ1
dc.description.jcrqQ2
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.orcid0000-0002-8002-5341-
crisitem.author.fullNameC. Frery, Alejandro-
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