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Journal of Electrical and Computer Engineering
Volume 2012, Article ID 341585, 9 pages
Research Article

DMF Data Format Usage for Change Detection

GRNPS Research Group, Technology of Computers and Communications Department, University of Extremadura, Escuela Politécnica, Av. Universidad s/n, 10003 Cáceres, Spain

Received 30 March 2012; Accepted 3 June 2012

Academic Editor: Jie Cheng

Copyright © 2012 Alejandro Cristo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Because of the availability of an overwhelming amount of remote sensing data obtained by different instruments, new techniques and applications have been developed in order to pursue the objective of detecting changes that occur in a particular area of the Earth or that affect a large part of the Earth. These studies have used datasets covering different wavelength ranges (visible, IR, radar, and so on), but common to all of them is the necessity for great accuracy to ensure that no bias is introduced due to data correction. Otherwise, a result may be the generation of false positives. Also, many studies have used several different datasets for the same area to detect changes (this is usually called data fusion), but there exists no specific data structure designed for this purpose. In this paper, we propose a data structure to be used for accurate change detection. This structure is transparent to the user and can be used for data fusion to improve those studies.