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dc.contributor.authorEugenio, F
dc.contributor.authorMarqués Acosta, Fernando
dc.contributor.authorSuarez, E
dc.contributor.authorRovaris, E
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2017-04-28T12:34:21Z
dc.date.available2017-04-28T12:34:21Z
dc.date.issued2000
dc.identifier.citationEugenio, F., Marques, F., Suarez, E., Rovaris, E. A contour matching approach for accurate NOAA-AVHRR image navigation. A: European Signal Processing Conference. "Proceedings of the 10th European Signal Processing Conference (EUSIPCO 2000)". Tampere: Eurasip, 2000.
dc.identifier.isbn952-15-0447-1
dc.identifier.urihttp://hdl.handle.net/2117/103852
dc.description.abstractAlthough different methods for NOAA AVHRR image navigation have already been established, the multitemporal and multi-satellite character of most studies requires automatic and accurate methods for navigation of satellite images. In the proposed method, a simple Kepplerian orbital model for the NOAA satellites is considered as reference model, and mean orbital elements are given as input to the model from ephemeris data. In order to correct the errors caused by these simplifications, errors resulting from inaccuracies in the positioning of the satellite and failures in the satellite internal clock, an automatic global contour matching approach has been adopted. First, the sensed image is preprocessed to obtain a gradient energy map of the reliable areas (sea-land contours) using a cloud detection algorithm and a morphological gradient operator. An initial estimation of the reliable contour positions is automatically obtained. The final positions of the contours are obtained by means of an iterative local minimization procedure that allows a contour to converge on an area of high image energy (edge). Global transformation parameters are estimated based on the initial and final positions of all reliable contour points. Finally, the performance of this approach is assessed using NOAA 14 AVHRR images from different geographic areas.
dc.format.extent1 p.
dc.language.isoeng
dc.publisherEurasip
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshTelecommunication
dc.subject.otherSatellites
dc.subject.otherUS Government agencies
dc.subject.otherRemote sensing
dc.subject.otherMinimization
dc.subject.otherSatellite navigation systems
dc.subject.otherSatellite broadcasting
dc.titleA contour matching approach for accurate NOAA-AVHRR image navigation
dc.typeConference report
dc.subject.lemacTelecomunicació
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/7075395/
dc.rights.accessOpen Access
drac.iddocument2415041
dc.description.versionPostprint (published version)
upcommons.citation.authorEugenio, F., Marques, F., Suarez, E., Rovaris, E.
upcommons.citation.contributorEuropean Signal Processing Conference
upcommons.citation.pubplaceTampere
upcommons.citation.publishedtrue
upcommons.citation.publicationNameProceedings of the 10th European Signal Processing Conference (EUSIPCO 2000)


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