Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47612
DC FieldValueLanguage
dc.contributor.authorGomez, Luisen_US
dc.contributor.authorMunteanu, Cristian G.en_US
dc.contributor.authorBuemi, Maria E.en_US
dc.contributor.authorJacobo-Berlles, Julio C.en_US
dc.contributor.authorMejail, Marta E.en_US
dc.contributor.otherGomez, Luis-
dc.date.accessioned2018-11-23T14:57:34Z-
dc.date.available2018-11-23T14:57:34Z-
dc.date.issued2013en_US
dc.identifier.issn0196-2892en_US
dc.identifier.urihttp://hdl.handle.net/10553/47612-
dc.description.abstractSpeckle reduction is an important problem in synthetic aperture radar (SAR) image analysis. Recent years have seen how Bayesian filters emerge as the natural extension of the nonlocal means filters, providing a general framework to deal with multiplicative (speckle) noise. In this paper, we present an easy-to-use software tool applying an evolutionary algorithm to optimize a Bayesian nonlocal means filter with sigma preselection for denoising SAR images. The desired result is a filtered image having a significative reduction in its variance but preserving the original mean value of the noisy image. A mixed-integer constrained optimization problem is stated and solved with the human intervention, where the user assists the evolutionary algorithm to reduce the noisy image variance under the restriction of keeping the mean value of the noisy SAR image within a predetermined interval of acceptance. We apply the methodology to a set of synthetic and real SAR speckle corrupted images. The results through the evaluation of objective global and local quality criteria show the excellent potential of the proposal.en_US
dc.languageengen_US
dc.publisher0196-2892-
dc.relation.ispartofIEEE Transactions on Geoscience and Remote Sensingen_US
dc.sourceIEEE Transactions on Geoscience and Remote Sensing[ISSN 0196-2892],v. 51 (6555865), p. 4563-4575en_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.subject.otherInteractive Evolutionen_US
dc.subject.otherQuality Assessmenten_US
dc.subject.otherAdaptationen_US
dc.titleSupervised constrained optimization of bayesian nonlocal means filter with sigma preselection for despeckling SAR imagesen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TGRS.2013.2269866en_US
dc.identifier.scopus84881071520-
dc.identifier.isi000322394600019-
dcterms.isPartOfIeee Transactions On Geoscience And Remote Sensing-
dcterms.sourceIeee Transactions On Geoscience And Remote Sensing[ISSN 0196-2892],v. 51 (8), p. 4563-4575-
dc.contributor.authorscopusid56789548300-
dc.contributor.authorscopusid55511749162-
dc.contributor.authorscopusid8265430800-
dc.contributor.authorscopusid6506465261-
dc.contributor.authorscopusid6507133054-
dc.description.lastpage4575en_US
dc.identifier.issue6555865-
dc.description.firstpage4563en_US
dc.relation.volume51en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000322394600019-
dc.contributor.daisngid746480-
dc.contributor.daisngid3022907-
dc.contributor.daisngid28321895-
dc.contributor.daisngid2822975-
dc.contributor.daisngid1925792-
dc.contributor.daisngid795427-
dc.identifier.investigatorRIDK-7777-2014-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Gomez, L-
dc.contributor.wosstandardWOS:Munteanu, CG-
dc.contributor.wosstandardWOS:Buemi, ME-
dc.contributor.wosstandardWOS:Jacobo-Berlles, JC-
dc.contributor.wosstandardWOS:Mejail, ME-
dc.date.coverdateJulio 2013en_US
dc.identifier.ulpgces
dc.description.sjr2,283
dc.description.jcr2,933
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.fulltextCon texto completo-
item.grantfulltextopen-
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.orcid0000-0003-0667-2302-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameGómez Déniz, Luis-
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