Dynamical characterization of land use classification using multispectral remote sensing data for Guadalajara region

Author

Villalon-Turrubiates, Ivan E.

Author_Institution

Inst. Tecnol. y de Estudos Super. de Occidente (ITESO), Univ. Jesuita de Guadalajara, Tlaquepaque, Mexico

fYear

2014

fDate

13-18 July 2014

Firstpage

145

Lastpage

148

Abstract

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.

Keywords

geophysical image processing; geophysical techniques; image classification; image segmentation; remote sensing; Guadalajara region; SPOT-5 imagery; dynamical characterization; dynamical filtering techniques; geophysical index dynamic behavior analysis; intelligent post-processing computational paradigm; land use classification; multispectral remote sensing data; remote sensing signature reconstruction quality; Computational modeling; Equations; Filtering; Image reconstruction; Mathematical model; Remote sensing; Vectors; Dynamical Analysis; Image Classification; Multispectral Data; Remote Sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6946377

Filename

6946377