基于信号子空间估计的多基线InSAR干涉相位图滤波方法
Novel Filtering Method of Multi-baseline InSAR Interferogram Based on Signal Subspace Processing

多基线干涉合成孔径雷达（Interferometic synthetic aperture radar,InSAR）利用长短基线之间的关系，能够获得优于单基线InSAR的高程测量结果。本文针对多基线InSAR的数据特点，提出了基于信号子空间估计的多基线InSAR干涉相位图滤波方法。该方法将不同长度基线下所获得干涉相位图中同一像素单元信号作为一个训练样本，通过信号子空间的估计完成多基线InSAR干涉相位图滤波。仿真实验结果表明，本文方法可以在运算时间相当的情况下，获得优于回转均值滤波算法和回转中值滤波算法的滤波性能，是一种可满足实时处理要求的有效的多基线InSAR干涉相位图滤波方法。
By utilizing the relationship of different baselines, the multi-baseline interferometric synthetic aperture radar (InSAR) can significantly enhance the capability of obtaining higher accuracy of the elevation measurement than that of traditional single-baseline InSAR. A novel filtering method of multi-baseline InSAR interferogram based on signal subspace processing is presented here. In the novel filtering method, we regard each pixel unit of different interferograms of different baselines as a training sample. Then the filter based on subspace tracking operation can effectively filtrate the noise interference of all the interferograms. Monte Carlo tests and simulated InSAR data validate that the new approach can achieve better filtering effect with similar levels of the execution time than the pivoting average-filter and the pivoting median-filter.