在分析了 SAR图像斑点噪声模型的基础上 ,利用具有对称性、正交性和紧支撑的复对称Daubechies小波 ,对 SAR图像进行了分解。将图像分解后的高频部分的振幅进行软阈值去噪 ,并将试验结果与实数小波去噪结果相比较。结果表明该方法既能有效地去除噪声 ,又能保持图像的大量原始信息 Based on the speckle noise model of SAR image, the SAR image is decomposed by complex symmetric Daubechies wavelet with symmetry, orthogonality and tight support. The amplitude of the high frequency part after image decomposition is denoised by soft threshold, and the result of the experiment is compared with the real wavelet denoising result. The results show that this method can not only effectively remove the noise, but also maintain a large amount of original information of the image