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dc.contributor.authorVillalón-Turrubiates, Iván E.
dc.date.accessioned2016-04-20T17:33:51Z
dc.date.accessioned2023-03-21T16:41:07Z
dc.date.available2016-04-20T17:33:51Z
dc.date.available2023-03-21T16:41:07Z
dc.date.issued2005
dc.identifier.citationIvan E. Villalon-Turrubiates, “Filtration and Enhancement of Environmental Characteristics Extracted from SAR Imagery Using Dynamic Kalman Technique”, en Proceedings of the 3rd International Workshop on Random Fields Modeling and Processing in Inhomogeneous Media (RFMPIM), IEEE Signal Processing Society, Guanajuato México, 2005, pp. 16-18.es
dc.identifier.urihttps://hdl.handle.net/20.500.12032/73736
dc.descriptionIn this study, we propose a new computational paradigm based on the use of the Kalman filtering technique adjusted to reconstruct the dynamic behavior of the physical and electrical characteristics of different environmental monitoring data provided via reconstructive SAR imagery. As a matter of particular study we develop and report the Kalman filter-based algorithm for high-resolution filtration of the dynamic behavior of the hydrological indexes of the particular real-world SAR images of the test remotely sensed scenes. The simulation results verify the efficiency of the proposed approach.es
dc.description.sponsorshipCinvestaves
dc.language.isoenges
dc.publisherInstitute of Electrical and Electronics Engineerses
dc.relation.ispartofseriesInternational Workshop on Random Fields Modeling and Processing in Inhomogeneous Media;3rd
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdfes
dc.subjectImage Processinges
dc.subjectKalman Filteringes
dc.subjectRemote Sensinges
dc.subjectSARes
dc.titleFiltration and Enhancement of Environmental Characteristics Extracted from SAR Imagery Using Dynamic Kalman Techniquees
dc.typeinfo:eu-repo/semantics/conferencePaperes


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