相位解缠是合成孔径雷达干涉测量中的一个关键步骤,也是主要的误差源之一,同时也是研究InSAR的一个重点和难点。相位解缠算法的选取对InSAR最终的成果(DEM或者形变量)有很大的影响。文中选取常用的Goldstein枝切算法、预解共轭梯度法(PCG)以及最为流行的统计费用网络流算法(Snaphu)对西安地区的实例数据进行了解缠运算,采用不同的评价标准对解缠结果的质量进行了评价比较,并分析给出了各自解缠算法的特点和适用情况,最后对相位解缠算法的未来发展方向进行了展望。
Phase unwrapping is very crucial in InSAR, and it is a major source of InSAR error. Also, it is important and difficult in studying InSAR technique. The result of InSAR (DEM or deformation) is different when choosing different phase unwrapping algorithm. Therefore, the results of case studies in which Goldstein branchcut algorithm, Preconditioned Conjugate Gradient algorithm and Snaphu algorithm have been used in Xi' an area are compared. The unwrapping results are evaluated by various criteria. Through analyzing the characteristics and the application scopes of each algorithm, the prospects of that is discussed.