基于EMD小波阈值化的SAR图像斑点抑制  

A Speckle Suppression Method for SAR Image Based on Wavelet Threholding EMD

作　　者：甘学武[1] 魏文斌[2] 

机构地区：[1]空军雷达学院研究生管理大队,武汉430019 [2]空军雷达学院空天基预警监视装备系,武汉430019

出　　处：《空军雷达学院学报》2009年第2期100-102,共3页Journal of Air Force Radar Academy

摘　　要：为有效抑制SAR图像斑点噪声,提出了基于EMD小波阈值化的斑点抑制方法.该方法首先用EMD方法将含斑点噪声的SAR图像分解为若干层基本分量,对前几个分量用小波阈值化方法进行处理,然后重构图像,从而达到抑制斑点噪声的目的.实验结果表明,该方法同小波阈值方法和二维EMD方法相比,去噪效果较明显,在抑制斑点噪声的同时,较好地保持了边缘和细节信息.In order to suppress SAR image speckle noise effectively, a new speckle reduction method was proposed in terms of EMD wavelet thresholding. In this method, the SAR image containing speckle noise was decomposed into a number of elementary components by using EMD, and then the first several components were processed by using wavelet thresholding, finally, the image was reconstructed, which reduced the speckle noise. Experimental results show that this method has good effect on suppressing speckle noise, compared to the wavelet thresholding and 2D EMD ones, and has advantages of sufficiently retaining edge and detail information while suppressing speckle noise.

关 键 词：经验模态分解 SAR图像 斑点噪声 小波阈值化 

分 类 号：TN957[电子电信—信号与信息处理]