Intelligent Processing for SAR Imagery for Environmental Management

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dc.contributor.authorVillalón-Turrubiates, Iván E.
dc.date.accessioned2016-04-25T14:34:40Z
dc.date.available2016-04-25T14:34:40Z
dc.date.issued2006
dc.descriptionA new intelligent computational paradigm based on the use of Kalman filtering technique [4] modified to reconstruct the dynamic behavior of the physical and electrical characteristics provided via reconstructive SAR imagery. As a matter of particular study, we develop and report the Kalman filter-based algorithm for high-resolution intelligent filtration of the dynamic behavior of the hydrological indexes of the particular tested remotely sensed scenes. The simulation results verify the efficiency of the proposed approach as required for decision support in environmental resources management.es
dc.description.sponsorshipCinvestaves
dc.identifier.citationIván E. Villalón-Turrubiates, “Intelligent Processing for SAR Imagery for Environmental Management”, in Proceedings of the 18th International Conference of the Information Resources Management Association (IRMA): Emerging Trends and Challenges in Information Technology Management, Washington D.C. EE.UU., 2006, pp. 981-983.es
dc.identifier.isbn1-59904-019-0
dc.identifier.urihttp://hdl.handle.net/11117/3313
dc.language.isoenges
dc.publisherInformation Resources Management Associationes
dc.relation.ispartofseriesInternational Conference of the Information Resources Management Association (IRMA);18th
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdfes
dc.subjectEnvironmental Remote Sensinges
dc.subjectResource Managementes
dc.subjectDecision Supportes
dc.titleIntelligent Processing for SAR Imagery for Environmental Managementes
dc.typeinfo:eu-repo/semantics/conferencePaperes
rei.peerreviewedYeses
rei.revisor18th International Conference of the Information Resources Management Association (IRMA)

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