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Authors: A. Castillo Atoche ; O. Palma Marrufo and R. Peon Escalante

Affiliation: Universidad Autonoma de Yucatan, Mexico

ISBN: 978-989-758-053-6

Keyword(s): Remote Sensing, Parallel Computing, GPUs.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Fuzzy Hardware, Fuzzy Architectures ; Fuzzy Image, Speech and Signal Processing, Vision and Multimedia ; Fuzzy Systems ; Soft Computing

Abstract: In this paper, the aggregation of the descriptive regularization and Fuzzy-Logic techniques is proposed for the enhancement/reconstruction of the power spatial spectrum pattern (SSP) of the wave field scattered from remotely sensed scenes. In particular, the Weighted Constrain Least Square (WCLS) and the Fuzzy anisotropic diffusion techniques are algorithmically adapted and implemented in a parallel fashion using commodity graphic processor units (GPUs) improving the time performance of real-time remote sensing applications. Experimental results show the performance efficiency both in resolution enhancement and in computational complexity reduction metrics with the presented approach.

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Paper citation in several formats:
Castillo Atoche, A.; Palma Marrufo, O. and Peon Escalante, R. (2014). Aggregation of Descriptive Regularization and Fuzzy Logic Techniques for Enhanced Remote Sensing Imaging.In Proceedings of the International Conference on Fuzzy Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2014) ISBN 978-989-758-053-6, pages 193-198. DOI: 10.5220/0005154301930198

@conference{fcta14,
author={A. Castillo Atoche. and O. Palma Marrufo. and R. Peon Escalante.},
title={Aggregation of Descriptive Regularization and Fuzzy Logic Techniques for Enhanced Remote Sensing Imaging},
booktitle={Proceedings of the International Conference on Fuzzy Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2014)},
year={2014},
pages={193-198},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005154301930198},
isbn={978-989-758-053-6},
}

TY - CONF

JO - Proceedings of the International Conference on Fuzzy Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2014)
TI - Aggregation of Descriptive Regularization and Fuzzy Logic Techniques for Enhanced Remote Sensing Imaging
SN - 978-989-758-053-6
AU - Castillo Atoche, A.
AU - Palma Marrufo, O.
AU - Peon Escalante, R.
PY - 2014
SP - 193
EP - 198
DO - 10.5220/0005154301930198

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