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dc.contributor.authorShkvarko, Yuriy
dc.contributor.authorVillalón-Turrubiates, Iván E.
dc.date.accessioned2016-04-25T15:35:20Z
dc.date.available2016-04-25T15:35:20Z
dc.date.issued2005
dc.identifier.citationYuriy V. Shkvarko, Iván E. Villalón-Turrubiates, “Intelligent Processing of Remote Sensing Imagery for Decision Support in Environmental Resource Management: A Neural Computing Paradigm”, in Proceedings of the 16th International Conference of the Information Resources Management Association (IRMA): Managing Modern Organizations with Information Technology, San Diego EE.UU., 2005, pp. 1060-1062.es
dc.identifier.isbn1-59140-822-9
dc.identifier.urihttp://hdl.handle.net/11117/3317
dc.descriptionIn this study, we propose a new neural network (NN) computational paradigm to resolve the resource management decision support (DS) oriented problems based on reconstructive remote sensing (RS) imaging with the use/fusion of multi- sensor systems as required for enhanced DS in environmental resource management and other related fields in DS technologies. The developed NN paradigm addresses a framework for resolving the computational problems related to the end-user DS in environmental monitoring based on the intelligent RS image reconstruction/enhancement.es
dc.description.sponsorshipCinvestaves
dc.language.isoenges
dc.publisherInformation Resources Management Associationes
dc.relation.ispartofseriesInternational Conference of the Information Resources Management Association (IRMA);16th
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.subjectRegularizationes
dc.subjectNeural Networkses
dc.titleIntelligent Processing of Remote Sensing Imagery for Decision Support in Environmental Resource Management: A Neural Computing Paradigmes
dc.typeinfo:eu-repo/semantics/conferencePaperes
rei.revisor16th International Conference of the Information Resources Management Association (IRMA)
rei.peerreviewedYeses


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