A Dynamical Model to Classify the Content of Multitemporal Images employing Distributed Computing Techniques
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Fecha
2015-07
Autores
Villalón-Turrubiates, Iván E.
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Editor
Information Resources Management Association
Resumen
Descripción
An intelligent post-processing paradigm based on the use of a dynamical filtering technique modified to enhance the reconstruction quality of remote sensing indexes using multitemporal images and distributed computing techniques is proposed. As a matter of particular study, a robust algorithm is reported for the analysis of the dynamic behavior of geophysical signatures extracted from remotely sensed scenes. The simulation results prove the efficiency of the proposed technique along with the computational implementation based on a big-data framework using distributed processing.
Palabras clave
Remote Sensing, Multispectral Imaging, Geodynamics, Distributed Computing
Citación
Ivan E. Villalon-Turrubiates, “A Dynamical Model to Classify the Content of Multitemporal Images employing Distributed Computing Techniques”, in Proceedings of the 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MULTITEMP), IEEE, Annecy Francia, 2015.