Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/55713
Campo DC Valoridioma
dc.contributor.authorGómez Déniz, Luisen_US
dc.contributor.authorAlvarez, Luisen_US
dc.contributor.authorFrery, Alejandro C.en_US
dc.date.accessioned2019-06-10T11:19:05Z-
dc.date.available2019-06-10T11:19:05Z-
dc.date.issued2018en_US
dc.identifier.isbn9781538671504en_US
dc.identifier.issn2153-6996en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/55713-
dc.description.abstractIn this paper we study the local behavior of Fully PolSAR (Polarimetric Synthetic Aperture Radar) images defined by 3 × 3 complex Wishart distributions. We propose a generalization of the well-known structure tensor to Fully PolSAR images, as well as a measure of the smoothness of such predominant direction. This measure provides local information as the predominant direction of maximum variation of the complex Wishart distribution in a neighborhood of an image domain point (x, y). We use stochastic distances defined in the space of Wishart matrices to generalize de structure tensor to PolSAR images. The study of the local behavior of PolSAR images address a number of processing and analysis problems. In particular, in this paper we apply this new approach to edge estimation using the magnitude of the PolSAR image variation provided by the generalized structure tensor. We also show promising results for simulated and actual PolSAR data.en_US
dc.languagespaen_US
dc.relation.ispartofIEEE International Geoscience and Remote Sensing Symposium proceedingsen_US
dc.sourceIEEE International Geoscience and Remote Sensing Symposium proceedings [ISSN 2153-6996], p. 5796-5799, (2018)en_US
dc.subject120601 Construcción de algoritmosen_US
dc.subject120602 Ecuaciones diferencialesen_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.subject.otherEdge Detectoren_US
dc.subject.otherSynthetic Aperture Radar Polarimetryen_US
dc.subject.otherStructure Tensoren_US
dc.subject.otherEdge Detectionen_US
dc.titleLocal edginess measures in PolSAR imagery by using stochastic distancesen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceIEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018)en_US
dc.identifier.doi10.1109/IGARSS.2018.8518008en_US
dc.identifier.scopus2-s2.0-85063134657-
dc.identifier.isi000451039805157-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.description.lastpage5799en_US
dc.description.firstpage5796en_US
dc.relation.volume2018-Julyen_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid746480-
dc.contributor.daisngid478566-
dc.contributor.daisngid29315664-
dc.description.numberofpages4en_US
dc.identifier.eisbn978-1-5386-7150-4-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Gomez, L-
dc.contributor.wosstandardWOS:Alvarez, L-
dc.contributor.wosstandardWOS:Frery, AC-
dc.date.coverdate2018en_US
dc.identifier.conferenceidevents121124-
dc.identifier.ulpgces
dc.contributor.buulpgcBU-TELen_US
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.event.eventsstartdate22-07-2018-
crisitem.event.eventsenddate27-07-2018-
crisitem.author.deptGIR IUCES: Centro de Tecnologías de la Imagen-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Ingeniería Electrónica y Automática-
crisitem.author.deptGIR Modelos Matemáticos-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0003-0667-2302-
crisitem.author.orcid0000-0002-6953-9587-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgDepartamento de Informática y Sistemas-
crisitem.author.fullNameGómez Déniz, Luis-
crisitem.author.fullNameÁlvarez León, Luis Miguel-
Colección:Actas de congresos
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