Filtration and Enhancement of Environmental Characteristics Extracted from SAR Imagery Using Dynamic Kalman Technique

dc.creatorVillalón-Turrubiates, Iván E.
dc.date2016-04-20T17:33:51Z
dc.date2016-04-20T17:33:51Z
dc.date2005
dc.date.accessioned2023-07-21T22:06:01Z
dc.date.available2023-07-21T22:06:01Z
dc.identifierIvan 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.
dc.identifierhttp://hdl.handle.net/11117/3293
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7759408
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.
dc.descriptionCinvestav
dc.formatapplication/pdf
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relationInternational Workshop on Random Fields Modeling and Processing in Inhomogeneous Media;3rd
dc.rightshttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdf
dc.subjectImage Processing
dc.subjectKalman Filtering
dc.subjectRemote Sensing
dc.subjectSAR
dc.titleFiltration and Enhancement of Environmental Characteristics Extracted from SAR Imagery Using Dynamic Kalman Technique
dc.typeinfo:eu-repo/semantics/conferencePaper


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