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J. Arnal, I. Mayzel, "Speckle Reduction in Polarimetric Synthetic Aperture Radar Images on Multicores", in B.H.V. Topping, P. Iványi, (Editors), "Proceedings of the Eleventh International Conference on Engineering Computational Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 2, Paper 8.3, 2022, doi:10.4203/ccc.2.8.3

Keywords: parallel computing, multicore, noise reduction, speckle noise, speckle reduction, polarimetric synthetic aperture radar.

Abstract

An algorithm for speckle noise reduction in color images is proposed. The method is applied to polarimetric synthetic aperture radar (PolSAR) images. PolSAR images are corrupted by speckle noise that complicates the target recognition and classification. Due to the computational cost of the filtering process and the large size of the images, a parallel implementation of the method is developed on multicore platforms. Experiments in color images are carried out to demonstrate the efficiency of the algorithm using objective quality measures. The efficiency of the algorithm is also proved in real PolSAR images. The results show the computational efficiency of the parallel implementation on multicore platforms, obtaining speedup values in the range 8.85 to 10.89 when the 12 cores of the multicore platform are used.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 2 PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by: B.H.V. Topping and P. Iványi Paper 8.3 Speckle Reduction in Polarimetric Synthetic Aperture Radar Images on Multicores J. Arnal and I. Mayzel Department of Computer Science and Artificial Intelligence, University of Alicante, Spain doi:10.4203/ccc.2.8.3 Full Bibliographic Reference for this paper J. Arnal, I. Mayzel, "Speckle Reduction in Polarimetric Synthetic Aperture Radar Images on Multicores", in B.H.V. Topping, P. Iványi, (Editors), "Proceedings of the Eleventh International Conference on Engineering Computational Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 2, Paper 8.3, 2022, doi:10.4203/ccc.2.8.3 Keywords: parallel computing, multicore, noise reduction, speckle noise, speckle reduction, polarimetric synthetic aperture radar. Abstract An algorithm for speckle noise reduction in color images is proposed. The method is applied to polarimetric synthetic aperture radar (PolSAR) images. PolSAR images are corrupted by speckle noise that complicates the target recognition and classification. Due to the computational cost of the filtering process and the large size of the images, a parallel implementation of the method is developed on multicore platforms. Experiments in color images are carried out to demonstrate the efficiency of the algorithm using objective quality measures. The efficiency of the algorithm is also proved in real PolSAR images. The results show the computational efficiency of the parallel implementation on multicore platforms, obtaining speedup values in the range 8.85 to 10.89 when the 12 cores of the multicore platform are used. download the full-text of this paper (PDF, 8 pages, 708 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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