一种枝切法和质量图相结合的InSAR相位解缠算法

摘要

To overcome the shortcomings that it is easy to form a separate island without unwrapping caused by the traditional path integral phase unwrapping method, a new algorithm of InSAR phase unwrapping based on the tradi⁃tional path integral phase unwrapping and quality map method was proposed. This new algorithm firstly applied branch⁃cut method to unwrap large⁃scale wrapped phase, then unwrap the remainder of the phase of separate islands by quality map, using heap sort algorithm to increase its operating efficiency. Simulation and experimental results show that the proposed algorithm can overcome the shortcomings of the branch cut method, which can not only get the complete phase unwrapping, but also surmount the difficulty in stopping the diffusion of phase unwrap⁃ping error caused by the quality map method. In actual test and simulation, the method is proven to have both char⁃acteristics of fastness in unwrapping of path integral and effectiveness in phase unwrapping of quality map method, and meet the requirement of unwrapping large scale wrapping phase, having higher precision by comparison with other algorithms.%针对传统的基于残差点的路径积分相位展开方法对于相干性差、信噪比小的区域，容易形成一个个独立的孤岛而无法解缠的缺陷，提出一种枝切法和质量图相结合的InSAR相位解缠的新算法。该算法以基于残差点的路径积分相位展开方法为基础，首先对大面积相位进行解缠，然后通过包裹相位的质量图解缠剩余的孤岛相位以及残差点处的相位，其中质量图法采用堆排序算法提高运算速度。枝切法不能得到完全解和质量图法无法阻止相位解缠误差的扩散的缺点得到了有效的克服，通过该算法在实测和仿真数据的处理上，也说明该算法即利用到了路径积分法的解缠速度快的特点，又利用到了质量图算法的相位解缠的有效性的特点，能有效处理大规模缠绕相位的解缠需求，相比于其他算法能得到更高的精度。