应用小波变换研究纹理合成孔径雷达（ＳＡＲ）图像的多分辨率分析和分类，首先应用树状结构的小波变换算法对一幅纹理ＳＡＲ图像进行多分辨率分解，并对图像中的不同纹理类型进行定量分析，然后将金字塔结构的小波变换算法应用到图像的多分辨率分类，所得结果证明了小波变换在纹理ＳＡＲ图像分类中的优越性。 Using wavelet transform to study the multiresolution analysis and classification of texture synthetic aperture radar (SAR) images, a texture SAR image is first decomposed using multi-resolution wavelet transform algorithm of tree structure, and different texture types are processed in the image Quantitative analysis, and then the pyramid structure of the wavelet transform algorithm is applied to the image multi-resolution classification, the results prove the wavelet transform superiority in texture SAR image classification.