干涉图滤波是 InSAR 数据处理中的关键步骤之一，滤波结果的优劣会直接影响到相位观测的质量和最终产品精度。本文结合干涉图滤波算法的研究进展，对 Goldstein 频率域滤波及其经典改进算法进行了系统分析和比较，在此基础上提出了一种基于第二类统计的稳健相干性估计量的Goldstein自适应滤波方法。本文采用模拟数据和 Env i sa t ASAR 真实数据与现有方法进行了验证，试验结果表明，新的滤波方法在保持细节和抑制噪声方面优势更加明显。%Interferometric filtering is one of the most important procedures in InSAR data processing as it refers to the quality of phase observations and the final products.A variant under the framework of Goldstein filter is presented in this paper,which is based on the robust coherence estimator from the second kind statistics.Compared with the state-of-the-art,the significant advantage of the new method is that more accurate filtering parameter alpha can be deduced and therefore better performance of the Goldstein filtering can be expected.Experimental results from both simulation and real Envisat ASAR data demonstrate the value of the method.
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