Virtual Processing Software for Distributed Analysis of High-Resolution Remote Sensing Data

dc.creatorBlas-Salazar, Jessica
dc.creatorAguilar-Molina, Yehoshua
dc.creatorVillalón-Turrubiates, Iván E.
dc.date2016-04-21T15:47:02Z
dc.date2016-04-21T15:47:02Z
dc.date2012-07
dc.date.accessioned2023-07-21T22:02:36Z
dc.date.available2023-07-21T22:02:36Z
dc.identifierIvan 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.
dc.identifier978-1-4673-1160-1
dc.identifierhttp://hdl.handle.net/11117/3297
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7758102
dc.descriptionIn 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.
dc.descriptionITESO, A.C.
dc.descriptionUniversidad de Guadalajara
dc.formatapplication/pdf
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relationProceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Remote Sensing for a Dynamic Earth;
dc.rightshttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdf
dc.subjectRemote Sensing
dc.subjectImage Classification
dc.titleVirtual Processing Software for Distributed Analysis of High-Resolution Remote Sensing Data
dc.typeinfo:eu-repo/semantics/conferencePaper


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