经验模态分解技术在SAR干涉图滤波中的应用

A SAR Interferogram Filter Based on the Empirical Mode Decomposition Method

提出了一种基于经验模态分解技术的滤波算法。该算法可以把原始数据分解成不同尺度的信息 ,从初始干涉图上减去与斑点噪声所对应尺度的信息 ,就可以达到斑点噪声抑制的目的。与另外两种滤波算法进行比较的结果表明 ,该算法不仅能有效地去除斑点噪声 ,并且能很好地保持相位的细节信息和条纹的边缘信息 ,保持相位的纯洁性 ,而且大比例地减少了残余点的数量 ,更有利于相位解缠。

A filter for suppressing speckle in SAR interferogram is proposed. The filter is based on the empirical mode decomposition (EMD) method which can separate the information to parts with different scale, when the part related to the speckle is subtracted from the original interferogram, the speckle noise is reduced. The result is compared with that of two other methods and shows that EMD method is powerful to interferogram speckle noise reduction, as well as it can preserve fine details in the interferogram that are directly related to the ground topography and maintain phase values distribution.