一种基于小波分析的SAR图像增强去噪方法

Method of SAR image enhancement and denoising based on wavelet analysis

提出了一种基于小波分析的SAR图像增强去噪声方法。该方法首先对被噪声污染的SAR图像进行小波变换,然后在小波域内对该图像进行平滑滤波,最后实现了一个SAR图像增强去噪处理系统。由处理结果可以看出,本方法在对SAR图像直接进行平滑滤波的应用中取得了较好的结果,为进一步图像分割、边缘提取奠定了一个较好的基础。

A method of SAR image enhancement and denoising based on wavelet transform is presented. In this method, wavelet transform is applied to the noise polluted SAR image firstly, and then the SAR image is filtered by a smooth filter in the wavelet domain. Finally a SAR image denoising system is implemented. From the result, it can be seen that better result can be attained by this method relative to the method of using smooth filter to process the SAR image directly. And a good base for further image segmentation or recognition is built.