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Proceedings Paper

Noise synthetic aperture radar (SAR) imagery compressing and reconstruction based on compressed sensing
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Paper Abstract

In this paper, a denoise approach is proposed to reduce the speckle noise in SAR images based on compress sensing. Through the skill of compressed sensing, we divide the image into some blocks, and propose an image reconstruction method based on block compressing sensing with Orthogonal Matching Pursuit. By adding some simulated speckle noise in the SAR image, the performance of the proposed approach is shown and compared with a conventional algorithm. the result has been shown that our method can get better result in terms of peak signal noise ratio (PSNR).

Paper Details

Date Published: 29 May 2013
PDF: 7 pages
Proc. SPIE 8750, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI, 87500N (29 May 2013); doi: 10.1117/12.2019120
Show Author Affiliations
Huihuang Zhao, Hengyang Normal Univ. (China)
The Univ. of Texas-Pan American (United States)
Juan F. Lopez Jr., The Univ. of Texas-Pan American (United States)
Shuxia Li, The Univ. of Texas-Pan American (United States)
Yufeng Cao, The Univ. of Texas-Pan American (United States)
Zhijun Qiao, The Univ. of Texas-Pan American (United States)


Published in SPIE Proceedings Vol. 8750:
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI
Harold H. Szu, Editor(s)

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