Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/50402
DC FieldValueLanguage
dc.contributor.authorGambini, J.en_US
dc.contributor.authorMejail, M. E.en_US
dc.contributor.authorJacobo-Berlles, J.en_US
dc.contributor.authorFrery, A. C.en_US
dc.contributor.otherFrery, Alejandro-
dc.date.accessioned2018-11-24T15:45:14Z-
dc.date.available2018-11-24T15:45:14Z-
dc.date.issued2006en_US
dc.identifier.issn0143-1161en_US
dc.identifier.urihttp://hdl.handle.net/10553/50402-
dc.description.abstractThis article proposes a technique for boundary detection in speckled imagery based on active contours and on the statistical properties of speckled data. Synthetic Aperture Radar (SAR), sonar, B‐ultrasound and laser imagery is corrupted by a signal‐dependent non‐additive noise called speckle. Many statistical models have been proposed to describe this noise, aiming at the development of specialized techniques for image improvement and analysis. The distribution is a statistical model that succeeds in describing a wide range of areas as, for instance in SAR data, pastures (smooth), forests (rough) and urban (extremely rough) areas. In order to determine boundaries between different areas, dynamic B‐splines are proposed in this paper. The algorithm automatically finds seeds and regions boundaries by a decision rule based on the estimation of the parameters of the law. The proposed algorithm is tested on synthetic and real SAR images, and both the accuracy and the performance of the proposal are assessed.en_US
dc.languagespaen_US
dc.publisher0143-1161-
dc.relation.ispartofInternational Journal of Remote Sensingen_US
dc.sourceInternational Journal Of Remote Sensing[ISSN 0143-1161],v. 27 (22), p. 5037-5059en_US
dc.titleFeature extraction in speckled imagery using dynamic B-spline deformable contours under the G(0) modelen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/01431160600702616en_US
dc.identifier.scopus33751571744-
dc.identifier.isi000243085000005-
dcterms.isPartOfInternational Journal Of Remote Sensing-
dcterms.sourceInternational Journal Of Remote Sensing[ISSN 0143-1161],v. 27 (22), p. 5037-5059-
dc.contributor.authorscopusid22957750300-
dc.contributor.authorscopusid6507133054-
dc.contributor.authorscopusid6506465261-
dc.contributor.authorscopusid7003561251-
dc.description.lastpage5059en_US
dc.identifier.issue22-
dc.description.firstpage5037en_US
dc.relation.volume27en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000243085000005-
dc.contributor.daisngid3631718-
dc.contributor.daisngid795427-
dc.contributor.daisngid1925792-
dc.contributor.daisngid215914-
dc.identifier.investigatorRIDA-8855-2008-
dc.utils.revisionen_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-TELen_US
dc.description.jcr0,98
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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