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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 a key step in synthetic aperture radar interferometry and also one of the major error sources. It is also a key and difficult point to study InSAR. The choice of phase unwrapping algorithm has a great influence on the final result of InSAR (DEM or deformation). In this paper, the commonly used Goldstein branch cut algorithm, the pre-deconjugate gradient method (PCG) and the most popular statistical cost network flow algorithm (Snaphu) are used to solve the case data in Xi’an area. Different evaluation criteria are applied to the unwrapping results The quality of the algorithm is evaluated and compared. The characteristics and application of their respective unwrapping algorithms are analyzed. Finally, the future development of the phase unwrapping algorithm is prospected.