基于C均值分类的极化SAR图像白化斑点滤波方法  

Polarimetric whitening speckle filter based on C-mean value classification for SAR images

作　　者：王晓军[1] 王鹤磊[1] 李连华[1] 孟藏珍[1] 马宁[2] 

机构地区：[1]空军雷达学院预警探测装备系,湖北武汉430019 [2]空军雷达学院电子对抗系,湖北武汉430019

出　　处：《系统工程与电子技术》2008年第12期2389-2392,共4页Systems Engineering and Electronics

摘　　要：极化合成孔径雷达SAR图像相干斑抑制基本原理是依据各通道间的极化信息差异。提出在各极化通道上分别进行非监督C均值分类,在标号图像中对各区域的水平通道平均散射强度、交叉极化通道与同通道强度比以及同极化通道间的相关系数等参数进行估计,将估计值应用到极化白化滤波器(PWF)中,从而得到改进的PWF滤波输出。经真实极化SAR图像检验,表明该方法能够提高传统PWF滤波器在均匀区域对相干斑的抑制能力。The principle of speckle reduction in polarimetric synthetic aperture radar （SAR） image is using polarimetric diversity among the channels. An improved polarimetric whitening filter （PWF） is proposed. Firstly each channel raw image is classified without surveillance by a C-mean value algorithm, and the label images are merged. Then scatter energy in HH channel, the polarimetric energy ratio between the HV and HH chan- nel and the correlation coefficients of HH and W images are evaluated in every segmented area, and an im- proved filtering performance is obtained by using the PWF with these new parameters. Results by the test of re- al polarimetric SAR images show that in homogeneous areas the proposed method could suppress coherent speckle better than original filters.

关 键 词：极化SAR图像 相干斑 滤波 C均值分类 

分 类 号：TP922[自动化与计算机技术]