Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48676
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dc.contributor.authorEugenio González, Franciscoen_US
dc.contributor.authorMarcello, Javieren_US
dc.date.accessioned2018-11-23T23:58:32Z-
dc.date.available2018-11-23T23:58:32Z-
dc.date.issued2009en_US
dc.identifier.issn1999-4893en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/48676-
dc.description.abstractSpatial registration of multidate or multisensorial images is required for many applications in remote sensing. Automatic image registration, which has been extensively studied in other areas of image processing, is still a complex problem in the framework of remote sensing. In this work we explore an alternative strategy for a fully automatic and operational registration system capable of registering multitemporal and multisensorial remote sensing satellite images with high accuracy and avoiding the use of ground control points, exploiting the maximum reliable information in both images (coastlines not occluded by clouds), which have been coarsely geometrically corrected only using an orbital prediction model. The automatic feature-based approach is summarized as follows: i) Reference image coastline extraction; ii) Sensed image gradient energy map estimation and iii) Contour matching, mapping function estimation and transformation of the sensed images. Several experimental results for single sensor imagery (AVHRR/3) and multisensorial imagery (AVHRR/3-SeaWiFS-MODIS-ATSR) from different viewpoints and dates have verified the robustness and accuracy of the proposed automatic registration algorithm, demonstrating its capability of registering satellite images of coastal areas within one pixel. © 2009 by the authors.en_US
dc.languageengen_US
dc.relationEsp2005-06823-C05-04 Calibración de Las Medidas Obtenidas Por El Radiometro Miras de la Mision Smos y Generacion de Mapas de Salinidad y Humedad Del Suelo. Parte Ulpgcen_US
dc.relation.ispartofAlgorithmsen_US
dc.sourceAlgorithms[ISSN 1999-4893],v. 2 (3), p. 1087-1104en_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.subject.otherImage Registrationen_US
dc.subject.otherFeature Detectionen_US
dc.subject.otherContour Matchingen_US
dc.subject.otherOptimization Approachen_US
dc.subject.otherMultitemporal And Multisensorial Imagesen_US
dc.titleFeatured-based algorithm for the automated registration of multisensorial/multitemporal oceanographic satellite imageryen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/a2031087en_US
dc.identifier.scopus78649868967-
dc.identifier.isi000214109900010-
dc.contributor.authorscopusid6603605357-
dc.contributor.authorscopusid6602158797-
dc.description.lastpage1104en_US
dc.identifier.issue3-
dc.description.firstpage1087en_US
dc.relation.volume2en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.contributor.daisngid5242233-
dc.contributor.daisngid702897-
dc.description.numberofpages18en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Eugenio, F-
dc.contributor.wosstandardWOS:Marcello, J-
dc.date.coverdateSeptiembre 2009en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-TELen_US
dc.description.esciESCI
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.project.principalinvestigatorEugenio González, Francisco-
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.orcid0000-0002-0010-4024-
crisitem.author.orcid0000-0002-9646-1017-
crisitem.author.parentorgIU de Oceanografía y Cambio Global-
crisitem.author.parentorgIU de Oceanografía y Cambio Global-
crisitem.author.fullNameEugenio González, Francisco-
crisitem.author.fullNameMarcello Ruiz, Francisco Javier-
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