提出了一种基于块匹配的迭代滤波合成孔径雷达图像去噪方法。首先，利用图像块之间的相似性进行块匹配，将相似图像块构建成一个三维矩阵。然后，在相似图像块之间进行迭代变换域滤波去除相干斑噪声，通过加权平均重建得到基本估计去噪图像。最后，对基本估计结果图像执行块匹配，在相似图像块内与相似图像块之间进行三维经验滤波得到最终去噪图像。实验表明，该方法不仅能够很好的去除合成孔径雷达图像相干斑噪声，还能够较好地保持图像的细节信息。

This paper presents an iterative filtering method on the de-noising of Synthetic Aperture Radar (SAR) image based on block matching. Firstly, it makes use of the similarity among the image blocks to conduct block matching and to construct a three-dimensional matrix of the similar image block. And then, it performs iteration filtering to remove speckle noise in transform domain among similar image blocks, so that we can obtain the basic estimation denoised image after reconstruction by weighted average. Finally, it performs block matching on the basic estimate denoised image, and filters in the similar image blocks and among the similar image blocks to get the final denoised image by 3-D experience filter. Experiments show that the proposed method can effectively suppress speckle noise of SAR image, while preserving better the edge and texture information.