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Mathematical Problems in Engineering
Volume 2013, Article ID 405372, 10 pages
Research Article

A New Tool for Intelligent Parallel Processing of Radar/SAR Remotely Sensed Imagery

1Universidad Autónoma de Yucatán, Avenida Industrias No Contaminantes S/N, Apartado Postal 150, 97310 Mérida, YUC, Mexico
2Universidad de Guadalajara, Boulevard Marcelino García Barragán1421, 44430 Guadalajara, JAL, Mexico
3Universidad de Quintana Roo, Boulevard Bahía S/N Esquina Ignacio Comonfort, 77019 Chetumal, QROO, Mexico

Received 19 July 2013; Accepted 11 September 2013

Academic Editor: Marco Pérez-Cisneros

Copyright © 2013 A. Castillo Atoche 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.


A novel parallel tool for large-scale image enhancement/reconstruction and postprocessing of radar/SAR sensor systems is addressed. The proposed parallel tool performs the following intelligent processing steps: image formation, for the application of different system-level effects of image degradation with a particular remote sensing (RS) system and simulation of random noising effects, enhancement/reconstruction by employing nonparametric robust high-resolution techniques, and image postprocessing using the fuzzy anisotropic diffusion technique which incorporates a better edge-preserving noise removal effect and faster diffusion process. This innovative tool allows the processing of high-resolution images provided with different radar/SAR sensor systems as required by RS endusers for environmental monitoring, risk prevention, and resource management. To verify the performance implementation of the proposed parallel framework, the processing steps are developed and specifically tested on graphic processing units (GPU), achieving considerable speedups compared to the serial version of the same techniques implemented in C language.