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dc.contributor.authorEugenio, F
dc.contributor.authorMarqués Acosta, Fernando
dc.contributor.authorGómez, L
dc.contributor.authorSuarez, E
dc.contributor.authorRovaris, E
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2016-12-16T09:24:28Z
dc.date.available2016-12-16T09:24:28Z
dc.date.issued2000
dc.identifier.citationEugenio, F., Marques, F., Gómez, L., Suarez, E., Rovaris, E. Accurate and automatic NOAA-AVHRR image navigation using a global contour matching approach. A: IEEE International Geoscience and Remote Sensing Symposium. "IGARSS 2000 - IEEE 2000 International Geoscience and remote Sensing Symposium: Taking the pulse of the planet: the role of remote sensing in managing the environment: 24-28 July 2000: Hilton Hawaiian Village, Honolulu, Hawaii, USA". Honolulú, Hawaii: 2000, p. 639-642.
dc.identifier.urihttp://hdl.handle.net/2117/98428
dc.description.abstractThe problem of precise and automatic AVHRR image navigation is tractable in theory, but has proved to be somewhat difficult in practice. The authors' 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.
dc.format.extent4 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject.lcshRemote sensing
dc.subject.otherImage edge detection
dc.subject.otherSatellite navigation systems
dc.subject.otherError correction
dc.subject.otherSpace vehicles
dc.subject.otherClocks
dc.subject.otherContracts
dc.subject.otherExtraterrestrial measurements
dc.subject.otherFeature extraction
dc.subject.otherTelecommunications
dc.subject.otherObject detection
dc.titleAccurate and automatic NOAA-AVHRR image navigation using a global contour matching approach
dc.typeConference report
dc.subject.lemacTeledetecció
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.identifier.doi10.1109/IGARSS.2000.861656
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org.recursos.biblioteca.upc.edu/document/861656/
dc.rights.accessOpen Access
drac.iddocument2395991
dc.description.versionPostprint (published version)
upcommons.citation.authorEugenio, F., Marques, F., Gómez, L., Suarez, E., Rovaris, E.
upcommons.citation.contributorIEEE International Geoscience and Remote Sensing Symposium
upcommons.citation.pubplaceHonolulú, Hawaii
upcommons.citation.publishedtrue
upcommons.citation.publicationNameIGARSS 2000 - IEEE 2000 International Geoscience and remote Sensing Symposium: Taking the pulse of the planet: the role of remote sensing in managing the environment: 24-28 July 2000: Hilton Hawaiian Village, Honolulu, Hawaii, USA
upcommons.citation.startingPage639
upcommons.citation.endingPage642


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