SAR image denoising algorithm based on Bayes wavelet shrinkage and fast guided filter

doi:10.20965/jaciii.2019.p0107

CQUET-IR

	SAR image denoising algorithm based on Bayes wavelet shrinkage and fast guided filter
	Yang, Xiu Jie 1; Chen, Ping 2
	2019
发表期刊	Journal of Advanced Computational Intelligence and Intelligent Informatics
ISSN	1343-0130
EISSN	1883-8014
卷号	23 期号:1 页码:107-113
摘要	To remove the speckle noise of synthetic aperture radar (SAR) images, a novel denoising algorithm based on Bayes wavelet shrinkage and a fast guided filter is proposed. According to the statistical properties of SAR images, the noise-free signal and speckle noise in the wavelet domain are modeled as Laplace and Fisher-Tippett distributions respectively. Then a new wavelet shrinkage algorithm is obtained by adopting the Bayes maximum a posteriori estimation. Speckle noise in the high-frequency domain of SAR images is shrunk by this new wavelet shrinkage algorithm. As the wavelet coefficients of the low-frequency domain also contain some speckle noise, speckle noise in the low-frequency domain can be further filtered by the fast guided filter. The result of the denoising experiments of simulated SAR images and real SAR images demonstrate that the proposed algorithm has the ability to better denoise and preserve edge information. © 2019 Fuji Technology Press. All Rights Reserved.
关键词	Edge detection Frequency domain analysis Image denoising Shrinkage Speckle Synthetic aperture radar Wavelet analysis Guided filters High frequency domain Maximum a posteriori estimation SAR Images Statistical properties Synthetic aperture radar (SAR) images Wavelet Wavelet shrinkage algorithm
DOI	10.20965/jaciii.2019.p0107
收录类别	EI ; ESCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000456264200015
出版者	Fuji Technology Press
EI入藏号	20190606465756
EI分类号	716.1 Information Theory and Signal Processing ; 716.2 Radar Systems and Equipment ; 741.1 Light/Optics ; 921 Mathematics ; 921.3 Mathematical Transformations ; 951 Materials Science
原始文献类型	Journal article (JA)
出版地	TOKYO
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.cqcet.edu.cn/handle/39TD4454/3214
专题	重庆电子科技职业大学
作者单位	1.Computer College, Chongqing College of Electronic Engineering, No.48 Middle Road, University Town, Shapingba District, Chongqing; 401331, China; 2.Training and Continuing Education College, Chongqing College of Electronic Engineering, No.48 Middle Road, University Town, Shapingba District, Chongqing; 401331, China
第一作者单位	重庆电子科技职业大学
推荐引用方式 GB/T 7714	Yang, Xiu Jie,Chen, Ping. SAR image denoising algorithm based on Bayes wavelet shrinkage and fast guided filter[J]. Journal of Advanced Computational Intelligence and Intelligent Informatics,2019,23(1):107-113.
APA	Yang, Xiu Jie,&Chen, Ping.(2019).SAR image denoising algorithm based on Bayes wavelet shrinkage and fast guided filter.Journal of Advanced Computational Intelligence and Intelligent Informatics,23(1),107-113.
MLA	Yang, Xiu Jie,et al."SAR image denoising algorithm based on Bayes wavelet shrinkage and fast guided filter".Journal of Advanced Computational Intelligence and Intelligent Informatics 23.1(2019):107-113.