J4 ›› 2010, Vol. 37 ›› Issue (2): 224-230.doi: 10.3969/j.issn.1001-2400.2010.02.008

• 研究论文 • 上一篇    下一篇

一种复合的SAR图像去噪算法

尹奎英1;胡利平1;刘宏伟1;金林2
  

  1. (1. 西安电子科技大学 雷达信号处理重点实验室,陕西 西安  710071;
    2. 中国电子集团 南京电子技术研究所,江苏 南京  210013)
  • 收稿日期:2009-02-14 出版日期:2010-04-20 发布日期:2010-06-03
  • 通讯作者: 尹奎英
  • 作者简介:尹奎英(1977-),女,西安电子科技大学博士研究生,E-mail: kuiyingyin@hotmail.com.
  • 基金资助:

    教育部长江学者和创新团队支持计划资助项目(IRT0645);国家自然科学基金资助项目(60772140);国家部委预研项目、国家部委预研基金联合资助项目

Composite enhancing and denoising algorithm for SAR images based on scale space correlation

YIN Kui-ying1;HU Li-ping1;LIU Hong-wei1;JIN Lin2   

  1. (1. Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China;
    2. Nanjing Research Institute of Electronics Technology, Nanjing  210013, China)
  • Received:2009-02-14 Online:2010-04-20 Published:2010-06-03
  • Contact: YIN Kui-ying

摘要:

针对SAR图像噪声影响分辨率的问题,提出一种新的复合SAR图像增强和去噪方法.该方法首先利用信号的小波相邻尺度相关性将信号和噪声分离,然后根据SAR图像近似瑞利分布的特点把SAR图像转换为近高斯分布,再分别利用复数扩散震动滤波器对SAR图像信号部分进行增强,用各项异性扩散方程对含噪部分进行去噪,最后用小波平稳变换对图像进行重构.实验结果表明,与传统的SAR图像去噪算法相比,新算法在边缘增强和噪声去除能力方面均有显著提高.

关键词: 相邻尺度相关, SAR图像去噪, SAR图像增强, 非线性扩散, 震动滤波器

Abstract:

A composite adaptive enhancing and denoising algorithm for SAR images is presented. The SAR images are differentiated from speckle noise via scale space correlation. Because the SAR image can be described by approximate rayleigh's distribution, the complex diffusion coupled shock filter is used to enhance the signal differentiated from SAR image, and the anisotropic diffusion equation is used to denoise the speckle in the SAR image. Finally, the SAR image is reconstructed by stationary wavelet transform. Compared with traditional speckle removal algorithms, this new algorithm has better performance in terms of edge preserving and denoising.

Key words: scale space correlation, SAR denoising, SAR enhancement, nonlinear diffusion, shock filter