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dc.contributor.authorShkvarko, Yuriy
dc.contributor.authorVillalón-Turrubiates, Iván E.
dc.date.accessioned2016-04-25T15:17:28Z
dc.date.accessioned2023-03-10T18:12:14Z
dc.date.available2016-04-25T15:17:28Z
dc.date.available2023-03-10T18:12:14Z
dc.date.issued2007
dc.identifier.citationIván E. Villalón-Turrubiates, Yuriy V. Shkvarko, “Dynamical Post-Processing of Environmental Electronic Maps Extracted from Large Scale Remote Sensing Imagery”, in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Sensing and Understanding our Planet, Barcelona España, 2007, pp. 1485-1488.es
dc.identifier.isbn978-1-4244-1211-2
dc.identifier.urihttps://hdl.handle.net/20.500.12032/71668
dc.descriptionA new intelligent computational paradigm based on the use of dynamical filtering techniques modified to enhance the quality of reconstruction of physical characteristics of environmental electronic maps extracted from the large scale remote sensing imagery is proposed. A robust Kalman filter- based algorithm is developed for the analysis of the dynamic behavior of hydrological indexes extracted from the real-world 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.sponsorshipConsejo Nacional de Ciencia y Tecnologíaes
dc.language.isoenges
dc.publisherInstitute of Electrical and Electronics Engineerses
dc.relation.ispartofseriesIEEE International Geoscience and Remote Sensing Symposium (IGARSS): Sensing and Understanding our Planet;
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdfes
dc.subjectRemote Sensinges
dc.subjectDynamic Filtrationes
dc.subjectClassificationes
dc.subjectDecision Supportes
dc.subjectEnvironmental Resource Managementes
dc.titleDynamical Post-Processing of Environmental Electronic Maps Extracted from Large Scale Remote Sensing Imageryes
dc.typeinfo:eu-repo/semantics/conferencePaperes


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