Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/48691
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dc.contributor.authorMarcello, Javieren_US
dc.contributor.authorMaqués, Ferranen_US
dc.contributor.authorEugenio, F.en_US
dc.date.accessioned2018-11-24T00:05:54Z-
dc.date.available2018-11-24T00:05:54Z-
dc.date.issued2002en_US
dc.identifier.isbn0-7803-7536-Xen_US
dc.identifier.issn2153-6996en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/48691-
dc.description.abstractThe problem of identifying mesoscale structures has been studied using a variety of image processing techniques, mainly, texture analysis, edge detection, mathematical morphology, neural networks and wavelet transform. The foremost difficulties encountered in the preceding approaches are the presence of noise, mainly due to clouds and other atmospheric phenomena; the fact that gradients are weak and provide excess of information; the strong morphological variation that impedes an accurate geometric representation and the absence of a valid analytical model for the structures. In this context, the proposed methodology, due to its region-based nature, overcomes the edge detection inconveniences and obtains the proper structure identification. This automatic technique has been applied to the detection and feature extraction of coastal upwellings and filaments in the northwest African coast and the Alboran Sea using imagery from the AVHRR/2&3, SeaWiFS and MODIS sensors. The system has proven to be very effective and robust in a wide variety of climate conditions.en_US
dc.languageengen_US
dc.relation.ispartofIEEE International Geoscience and Remote Sensing Symposium proceedingsen_US
dc.sourceInternational Geoscience and Remote Sensing Symposium (IGARSS),v. 4, p. 2483-2485en_US
dc.subject250616 Teledetección (Geología)en_US
dc.subject.otherImage texture analysisen_US
dc.subject.otherFeature extractionen_US
dc.subject.otherImage processingen_US
dc.subject.otherImage analysisen_US
dc.subject.otherImage edge detectionen_US
dc.subject.otherOceanen_US
dc.subject.otherSea surfaceen_US
dc.subject.otheroceanographic techniquesen_US
dc.titleAutomatic feature extraction from multisensorial oceanographic imageryen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceIEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002)/24th Canadian Symposium on Remote Sensingen_US
dc.identifier.scopus0036399473-
dc.identifier.isi000179116800807-
dc.contributor.authorscopusid6602158797-
dc.contributor.authorscopusid7801417191-
dc.contributor.authorscopusid6603605357-
dc.description.lastpage2485en_US
dc.description.firstpage2483en_US
dc.relation.volume4en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid702897-
dc.contributor.daisngid23554065-
dc.contributor.daisngid12598299-
dc.description.numberofpages3en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Marcello, J-
dc.contributor.wosstandardWOS:Maques, F-
dc.contributor.wosstandardWOS:Eugenio, F-
dc.date.coverdate2002en_US
dc.identifier.conferenceidevents120332-
dc.identifier.ulpgces
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IOCAG: Procesado de Imágenes y Teledetección-
crisitem.author.deptIU de Oceanografía y Cambio Global-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IOCAG: Procesado de Imágenes y Teledetección-
crisitem.author.deptIU de Oceanografía y Cambio Global-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-9646-1017-
crisitem.author.orcid0000-0002-0010-4024-
crisitem.author.parentorgIU de Oceanografía y Cambio Global-
crisitem.author.parentorgIU de Oceanografía y Cambio Global-
crisitem.author.fullNameMarcello Ruiz, Francisco Javier-
crisitem.author.fullNameEugenio González, Francisco-
crisitem.event.eventsstartdate24-06-2002-
crisitem.event.eventsenddate28-06-2002-
Colección:Actas de congresos
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