一种基于小波变换的SAR图像斑点噪声抑制方法

A Method of Suppress Speckle in SAR Imagery Based on Wavelet Transform

给出了一种抑制合成孔径雷达斑点噪声的方法，它以小波多分辨分析理论为基础，通过对小波分解后细节子空间像素的幅度值进行处理，来抑制斑点噪声，并且设立适当的阈值对图像的边缘进行增强。使得在噪声抑制的同时达到保留图像边缘结构信息的效果。经过和现有的几种抑制班点噪声的滤波器进行定量和定性的实验比较，由实验结果可以看出使用小波方法处理的图像效果好于其他方法。

：This paper presents an algorithm to suppress speckle of Synthetic Aperture Radar(SAR) images.Under the framework of multiscale wavelet analysis,we process the amplitude of the detail images in wavelet subspaces to eliminate noise. In addition,we enhance the sharpness of salient features by selecting the appropriate threshold.The experiment shows that this technique produced superior results both qualitatively and quantitatively when compared to results obtained from existing denoising methods alone.