Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47704
DC FieldValueLanguage
dc.contributor.authorFrery, Alejandro C.en_US
dc.contributor.authorOspina, Raydonalen_US
dc.contributor.authorGómez Déniz, Luisen_US
dc.date.accessioned2018-11-23T15:43:53Z-
dc.date.available2018-11-23T15:43:53Z-
dc.date.issued2015en_US
dc.identifier.isbn9781479979295en_US
dc.identifier.issn2153-6996en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/47704-
dc.description.abstractSynthetic Aperture Radar (SAR) imaging play a central role in Remote Sensing applications due to, among other important features, its ability to provide high-resolution, day-and-night and almost weather-independent images. SAR images are affected from a granular contamination, speckle noise, that can be described by a multiplicative model. Many despeckling techniques have been proposed in the literature, as well as measure of the quality of the results they provide. Speckle filters provide (X) over cap, estimator of the true image X, based solely on the observed data Z, then an ideal estimator would be the one for which the ratio of the observed image to the filtered one Pi =Z/(X) over cap is only speckle. The quality of the filter can be, then, assessed by its closeness to this hypothesis. We tackle the problem of quantitatively measuring the quality of speckle filters by the criterion of lack of structure in the ratio image they produce. We propose the use of Haralick's textural features for the identification of remaining structures in ratio images. In order to do so, we first analyze the distribution of such features under the null hypothesis (H-0) of absence of structure; then we sample from ratio images with barely visible remaining structures.en_US
dc.languageengen_US
dc.relation.ispartofIEEE International Geoscience and Remote Sensing Symposium proceedingsen_US
dc.source2015 Ieee International Geoscience And Remote Sensing Symposium (Igarss) [ISSN 2153-6996], p. 489-492, (2015)en_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.subject.otherSynthetic Aperture Radaren_US
dc.subject.otherRemote sensingen_US
dc.titleFinding structures in ratio imagesen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015en_US
dc.identifier.doi10.1109/IGARSS.2015.7325807en_US
dc.identifier.scopus84962599472-
dc.identifier.isi000371696700124-
dc.contributor.authorscopusid7003561251-
dc.contributor.authorscopusid23009700500-
dc.contributor.authorscopusid57190033385-
dc.description.lastpage492en_US
dc.identifier.issue7325807-
dc.description.firstpage489en_US
dc.relation.volume2015-Novemberen_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid215914-
dc.contributor.daisngid3038242-
dc.contributor.daisngid7172625-
dc.description.numberofpages4en_US
dc.identifier.eisbn978-1-4799-7929-5-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Frery, AC-
dc.contributor.wosstandardWOS:Ospina, R-
dc.contributor.wosstandardWOS:Deniz, LG-
dc.date.coverdateNoviembre 2015en_US
dc.identifier.conferenceidevents120945-
dc.identifier.ulpgces
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptAnálisis Matemático de Imágenes y Gráficos por Ordenador-
crisitem.author.deptDepartamento de Ingeniería Electrónica y Automática-
crisitem.author.orcid0000-0002-8002-5341-
crisitem.author.orcid0000-0002-2798-6223-
crisitem.author.parentorgDepartamento de Informática y Sistemas-
crisitem.author.fullNameC. Frery, Alejandro-
crisitem.author.fullNameGómez Déniz, Luis-
crisitem.event.eventsstartdate26-07-2015-
crisitem.event.eventsenddate31-07-2015-
Appears in Collections:Actas de congresos
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