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Research on image denoising algorithm based on improved anisotropic diffusion synthetic aperture radar
Xin, Hongqiang1,2; Feng, Liangjie1,2
2019
会议名称10th International Conference on Graphics and Image Processing, ICGIP 2018
会议录名称Tenth International Conference on Graphics and Image Processing, ICGIP 2018
卷号11069
会议日期2018-12-12
会议地点Chengdu, China
出版者SPIE
产权排序1
摘要

The presence of speckle noise seriously affects the application of synthetic aperture radar (SAR) images in image fusion, so it is especially important to suppress speckle noise. According to the formation mechanism of speckle noise, this paper proposes a SAR image speckle noise removal algorithm based on improved anisotropic diffusion. The algorithm improves the diffusion coefficient c(x) based on the P-M equation diffusion filter algorithm, and adds the iterative termination condition, and obtains the filtering algorithm suitable for SAR images. This method can not only solve the problem that there are many isolated noise points in the traditional P-M model filtering, but also has a good effect on image edge preservation. The simulation results show that the improved P-M model can eliminate noise well and maintain the edge information of the image well. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词Anisotropic diffusion SAR image speckle noise P-M model diffusion coefficient
作者部门空间光学技术研究室
DOI10.1117/12.2524184
收录类别EI ; CPCI
ISBN号9781510628281
语种英语
ISSN号0277786X;1996757X
WOS记录号WOS:000485096200088
EI入藏号20192106949150
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/31516
专题空间光学技术研究室
作者单位1.Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710068, China;
2.School of Physics and Information Technology, Shaanxi Normal University, Xi'an; 710119, China
推荐引用方式
GB/T 7714
Xin, Hongqiang,Feng, Liangjie. Research on image denoising algorithm based on improved anisotropic diffusion synthetic aperture radar[C]:SPIE,2019.
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