基于小波变换的SAR图像分割

SAR(合成孔径雷达)图像包含有相干斑噪声，传统方法不能很好地对SAR图像进行分割，该文结合SAR图像和小波变换多分辨分析的特点，提出了一种新的SAR图像分割方法。首先利用小波变换提取SAR图像的纹理特征信息，然后根据SAR图像噪声在小波域中的分布特点对SAR图像进行滤波，最后以SAR图像小波能量纹理特征和滤波后的灰度组成特征向量对SAR图像进行分割。实验结果表明，该方法是一种有效的SAR图像分割方法。

SAR Image Segmentation Based on Wavelet Transform

There is speckle in SAR image, in the paper,a new method of SAR image segmentation is proposed with the combination of the features of SAR image and multifrequency analysis of wavelet, first texture features are distilled with wavelet,SAR image is filtered according to the features of its distribution in the wavelet field,at last, SAR image is segmented according to the vector composed of wavelet texture features and tone of filtered SAR image. With the experiment result,the method is proved an efficient one of SAR image segmentation.