dc.contributor.author | Shkvarko, Yuriy | |
dc.contributor.author | Villalón-Turrubiates, Iván E. | |
dc.date.accessioned | 2016-04-25T15:35:20Z | |
dc.date.accessioned | 2023-03-13T15:11:46Z | |
dc.date.available | 2016-04-25T15:35:20Z | |
dc.date.available | 2023-03-13T15:11:46Z | |
dc.date.issued | 2005 | |
dc.identifier.citation | Yuriy 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.isbn | 1-59140-822-9 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12032/71983 | |
dc.description | In 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.sponsorship | Cinvestav | es |
dc.language.iso | eng | es |
dc.publisher | Information Resources Management Association | es |
dc.relation.ispartofseries | International Conference of the Information Resources Management Association (IRMA);16th | |
dc.rights.uri | http://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdf | es |
dc.subject | Environmental Remote Sensing | es |
dc.subject | Resource Management | es |
dc.subject | Decision Support | es |
dc.subject | Regularization | es |
dc.subject | Neural Networks | es |
dc.title | Intelligent Processing of Remote Sensing Imagery for Decision Support in Environmental Resource Management: A Neural Computing Paradigm | es |
dc.type | info:eu-repo/semantics/conferencePaper | es |