基于算术-几何均值比的改进型各向异性扩散斑点噪声抑制  

An Improved Anisotropic Diffusion Speckle Filtering Based on AG

作　　者：陈少波[1,2] 侯建华[1,2] 张华[1,2] 

机构地区：[1]中南民族大学电子信息工程学院,武汉430074 [2]中南民族大学智能无线通信湖北省重点实验室,武汉430074

出　　处：《中南民族大学学报（自然科学版）》2013年第3期63-67,共5页Journal of South-Central University for Nationalities：Natural Science Edition

基　　金：国家自然科学基金资助项目(61201448;61141010);湖北省自然科学基金资助项目(2011CHB043;2012FFA113);中南民族大学中央高校基本科研业务费专项资金自科一般项目(CZY10001)

摘　　要：在传统的基于各向异性扩散斑点噪声滤波算法DPAD的基础上,利用A/G代替CV在DPAD中的作用,提出了一种新的基于A/G的改进型各向异型扩散的斑点噪声抑制算法.仿真实验表明了该算法具有效性;在对纹理信息丰富的SAR图像处理中,基于CV的传统斑点噪声滤波器比基于A/G的斑点噪声滤波器表现要好;而在对具有大范围边缘、亮线和全向纹理等特性的SAR图像的处理中,改进的算法更具优势;两类算法互为补充.On the basis of detail preserving anisotropic diffusion filter （ DPAD）, a novel improved anisotropic diffusion speckle filtering based on A/G is proposed in this paper, in which CV is replaced by A/G. Simulation experiments validate the effectiveness of the proposed methods. The traditional CV based filter has better performance than the proposed A/G based filter when regarding SAR image with abundant texture, but with respect to an image with characteristics of large edge, bright and simple texture, the A/G filter outperforms the CV filter. The two algorithms are supplementary to each other.

关 键 词：SAR图像 异质性测量 相干斑 滤波 

分 类 号：TN911.73[电子电信—通信与信息系统]