Dynamical Characterization of Land-Use Classification using Multispectral Remote Sensing Data for Guadalajara Region

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dc.contributor.authorVillalón-Turrubiates, Iván E.
dc.date.accessioned2016-04-05T19:26:30Z
dc.date.available2016-04-05T19:26:30Z
dc.date.issued2014-07
dc.descriptionAn intelligent post-processing computational paradigm based on the use of dynamical filtering techniques modified to enhance the quality of reconstruction of remote sensing signatures based on SPOT-5 imagery is proposed. As a matter of particular study, a robust algorithm is reported for the analysis of the dynamic behavior of geophysical indexes extracted from remotely sensed scenes. Simulations are reported to probe the efficiency of the proposed technique.es
dc.description.sponsorshipITESO, A.C.es
dc.identifier.citationI.E. Villalón-Turrubiates (2014). “Dynamical Characterization of Land-Use Classification using Multispectral Remote Sensing Data for Guadalajara Region”. Proceedings of the 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Energy and our Changing Planet, Québec, Canadá, 2014, pp.145-148.es
dc.identifier.isbn978-1-4799-5775-0
dc.identifier.urihttp://hdl.handle.net/11117/3243
dc.language.isoenges
dc.publisherIEEEes
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdfes
dc.subjectImage Classificationes
dc.subjectRemote Sensinges
dc.subjectMultispectral Dataes
dc.subjectDynamical Analysises
dc.titleDynamical Characterization of Land-Use Classification using Multispectral Remote Sensing Data for Guadalajara Regiones
dc.typeinfo:eu-repo/semantics/conferencePaperes
rei.peerreviewedYeses
rei.revisorIEEE International Geoscience and Remote Sensing Symposium

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