dc.contributor.author | Blas-Salazar, Jessica | |
dc.contributor.author | Aguilar-Molina, Yehoshua | |
dc.contributor.author | Villalón-Turrubiates, Iván E. | |
dc.date.accessioned | 2016-04-21T15:47:02Z | |
dc.date.accessioned | 2023-03-16T20:09:04Z | |
dc.date.available | 2016-04-21T15:47:02Z | |
dc.date.available | 2023-03-16T20:09:04Z | |
dc.date.issued | 2012-07 | |
dc.identifier.citation | Ivan E. Villalon-Turrubiates, Jessica Blas-Salazar, Yehoshua Aguilar-Molina, “Virtual Processing Software for Distributed Analysis of High-Resolution Remote Sensing Data”, in Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Remote Sensing for a Dynamic Earth, Múnich Alemania, 2012, pp. 4327-4330. | es |
dc.identifier.isbn | 978-1-4673-1160-1 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12032/72527 | |
dc.description | In this paper we address a prospective look at the problem of computational simulation for different distributed tasks related to analysis of multispectral data obtained with the use of remote sensing systems as required for end-user- oriented environmental monitoring, urban assessment/planning and natural resources management. This virtual processing software for analysis of multispectral remote sensing imagery employs and unifies some previously developed enhancement, reconstruction, segmentation, classification, quantification and dynamical post- processing methodologies in a simulation tool referred to as the Geophysics Dynamic Laboratory (GDL). Simulation examples are reported to illustrate the usefulness of the elaborated GDL software for algorithmic-level analysis of high-resolution multispectral remote sensing imagery. | es |
dc.description.sponsorship | ITESO, A.C. | es |
dc.description.sponsorship | Universidad de Guadalajara | es |
dc.language.iso | eng | es |
dc.publisher | Institute of Electrical and Electronics Engineers | es |
dc.relation.ispartofseries | Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Remote Sensing for a Dynamic Earth; | |
dc.rights.uri | http://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdf | es |
dc.subject | Remote Sensing | es |
dc.subject | Image Classification | es |
dc.title | Virtual Processing Software for Distributed Analysis of High-Resolution Remote Sensing Data | es |
dc.type | info:eu-repo/semantics/conferencePaper | es |