Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/47616
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dc.contributor.authorEugenio, Franciscoen_US
dc.contributor.authorMarques, Ferranen_US
dc.contributor.authorGomez, Luisen_US
dc.contributor.authorSuarez, Eduardoen_US
dc.contributor.authorRovaris, Eduardoen_US
dc.contributor.otherGomez, Luis-
dc.date.accessioned2018-11-23T14:59:27Z-
dc.date.available2018-11-23T14:59:27Z-
dc.date.issued2000en_US
dc.identifier.isbn0-7803-6359-0en_US
dc.identifier.urihttp://hdl.handle.net/10553/47616-
dc.description.abstractThe problem of precise and automatic AVHRR image navigation is tractable in theory, but has proved to be somewhat difficult in practice. Our work has been motivated by the need for a fully automatic and operational navigation system capable of geo-referencing NOAA-AVHRR images with high accuracy and without operator supervision. The proposed method is based on the simultaneous use of an orbital model and a contour matching approach. This last process, relying on an affine transformation model, is used to correct the errors caused by inaccuracies in orbit modeling, nonzero value for the spacecraft's roll, pitch and yaw, errors due to inaccuracies in the satellite positioning and failures in the satellite internal clock. The automatic global contour matching process is summarized as follows: i) Estimation of the gradient energy map (edges) in the sensed image and detection of the cloudless (reliable) areas in this map. ii) Initialization of the affine model parameters by minimizing the Euclidean distance between the reference and sensed images objects. iii) Simultaneous optimization of all reference image contours on the sensed image by energy minimization in the domain of the global transformation parameters. The process is iterated in a hierarchical way, reducing the parameter searching space at each iteration. The proposed image navigation algorithm has proved to be capable of geo-referencing a satellite image within 1 pixel.en_US
dc.languageengen_US
dc.relation.ispartofInternational Geoscience and Remote Sensing Symposium (IGARSS)en_US
dc.sourceInternational Geoscience and Remote Sensing Symposium (IGARSS),v. 2, p. 639-641en_US
dc.subject3301 Ingeniería y tecnología aeronáuticasen_US
dc.subject.otherImage edge detectionen_US
dc.subject.otherSatellite navigation systemsen_US
dc.subject.otherSpace vehiclesen_US
dc.subject.otherExtraterrestrial measurementsen_US
dc.subject.otherFeature extractionen_US
dc.subject.otherTelecommunicationsen_US
dc.titleAccurate and automatic NOAA-AVHRR image navigation using a global contour matching approachen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceIEEE International Geoscience and Remote Sensing Symposiumen_US
dc.identifier.scopus0034542639-
dc.identifier.isi000172046000211-
dcterms.isPartOfIgarss 2000: Ieee 2000 International Geoscience And Remote Sensing Symposium, Vol I - Vi, Proceedings-
dcterms.sourceIgarss 2000: Ieee 2000 International Geoscience And Remote Sensing Symposium, Vol I - Vi, Proceedings, p. 639-641-
dc.contributor.authorscopusid6603605357-
dc.contributor.authorscopusid57169697000-
dc.contributor.authorscopusid56789548300-
dc.contributor.authorscopusid36899691300-
dc.contributor.authorscopusid6602436910-
dc.description.lastpage641en_US
dc.description.firstpage639en_US
dc.relation.volume2en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.identifier.wosWOS:000172046000211-
dc.contributor.daisngid879896-
dc.contributor.daisngid12598299-
dc.contributor.daisngid248788-
dc.contributor.daisngid30605957-
dc.contributor.daisngid746480-
dc.contributor.daisngid21614114-
dc.contributor.daisngid2065626-
dc.contributor.daisngid3225666-
dc.identifier.investigatorRIDK-7777-2014-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Eugenio, F-
dc.contributor.wosstandardWOS:Marques, F-
dc.contributor.wosstandardWOS:Gomez, L-
dc.contributor.wosstandardWOS:Suarez, E-
dc.contributor.wosstandardWOS:Rovaris, E-
dc.date.coverdateDiciembre 2000en_US
dc.identifier.conferenceidevents120308-
dc.identifier.ulpgces
dc.description.ggs3
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 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 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.orcid0000-0002-0010-4024-
crisitem.author.orcid0000-0003-0667-2302-
crisitem.author.orcid0000-0003-0667-2302-
crisitem.author.parentorgIU de Oceanografía y Cambio Global-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameEugenio González, Francisco-
crisitem.author.fullNameGómez Déniz, Luis-
crisitem.author.fullNameGómez Déniz, Luis-
crisitem.event.eventsstartdate24-07-2000-
crisitem.event.eventsenddate28-07-2000-
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