Abstract: An algorithm for multi-temporal Synthetic Aperture Radar(SAR) images is introduced. A linear combination of multi-temporal SAR images based on the covariance matrix is built. Weighted matrix is obtained according to the information contained in those images. With the weighted matrix, speckles in one image can be reduced with the information from other images. Three SAR images are adopted to validate the method. Experimental results show the method can achieve good speckle reduction for processing the multi-temporal SAR data simultaneously, while preserving spatial resolution of individual images.

Key words: Synthetic Aperture Radar(SAR), image filtering, multi-temporal, speckle noise, linear combination

摘要： 提出一种SAR图像多时相组合滤波方法，利用同区域多幅时间序列SAR图像构建最优线性组合，得到权矩阵，通过处理使多幅图像在信息互补过程中达到抑制斑噪的目的。利用3幅不同时相真实SAR图像进行滤波实验分析，并与经典SAR图像滤波方法比较，结果表明，该方法能够保持空间细节信息，且去除斑点噪声效果良好，可以同时应用于同一区域多幅SAR图像的滤波处理。

关键词: 合成孔径雷达, 图像滤波, 多时相, 斑点噪声, 线性组合

CLC Number: 

• N945