Virtual Processing Software for Distributed Analysis of High-Resolution Remote Sensing Data
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Fecha
2012-07
Autores
Blas-Salazar, Jessica
Aguilar-Molina, Yehoshua
Villalón-Turrubiates, Iván E.
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Editor
Institute of Electrical and Electronics Engineers
Resumen
Descripción
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.
Palabras clave
Remote Sensing, Image Classification
Citación
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.