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 |
DOI | 10.1117/12.2524184 |
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 | |
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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