Dynamical Characterization of Land-Use Classification using Multispectral Remote Sensing Data for Guadalajara Region
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Fecha
2014-07
Autores
Villalón-Turrubiates, Iván E.
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Editor
IEEE
Resumen
Descripción
An intelligent post-processing computational paradigm based on the use of dynamical filtering techniques modified to enhance the quality of reconstruction of remote sensing signatures based on SPOT-5 imagery is proposed. As a matter of particular study, a robust algorithm is reported for the analysis of the dynamic behavior of geophysical indexes extracted from remotely sensed scenes. Simulations are reported to probe the efficiency of the proposed technique.
Palabras clave
Image Classification, Remote Sensing, Multispectral Data, Dynamical Analysis
Citación
I.E. Villalón-Turrubiates (2014). “Dynamical Characterization of Land-Use Classification using Multispectral Remote Sensing Data for Guadalajara Region”. Proceedings of the 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Energy and our Changing Planet, Québec, Canadá, 2014, pp.145-148.