合成孔径雷达图像斑点噪声滤波方法研究

Research on Synthetic Aperture Radar Imagery Speckle Filter

探讨了适于合成孔径雷达图像斑点噪声滤波的小波基选择与小波提升问题.在分析了利用马尔科夫模型描述小波系数相关性问题的基础上,提出了一种基于小波系数高斯混合模型和隐马尔科夫模型的雷达图像斑点噪声滤波方法.使用几种典型的滤波处理方法,分别对星载和机载的合成孔径雷达图像进行滤波处理.实验表明,所提出的图像滤波方法能够更好地抑制雷达图像的斑点噪声.

The paper discusses the wavelet base selection and the wavelet lifting for the radar image speckle filter. A new method for synthetic aperture radar （SAR） speckle reduction based on the lifting wavelet and Hide MarKov model is proposed on the basis of the research of the lifting scheme wavelet technique and the relativity description of the wavelet coefficients by using the MarKov model. The SAR images obtained by satellite and aeroplane respectively are studied in the experiment. The result shows that the method is better for SAR imagery speckle reduction.