Abstract: The traditional ?quality guide phase unwrapping method is unefficient because of a great deal of sort operations in the process of phase unwrapping, especially for large InSAR phase data. This paper proposes a method of index fragmentation heap sort wrapped phase unwrapping. This method puts QPDVC as quality figure in order to combine with the advantages of traditional quality figure, and uses the index fragmentation heap sort to divide large phase data into some small heaps, saving the time of adjusting to mimimum heap in sort process. Compared with traditional methods, this method improves the unwrapping accuracy and efficiency. Finally, the simulation results show that the method is effective and feasible.

Key words: Interferometric Synthetic Aperture Radar（InSAR）, phase unwrapping, quality map, index fragmentation heap sort

摘要： 针对处理大型InSAR相位数据，由于传统质量引导的相位解缠方法在解缠过程中要进行大量的排序操作，其解缠效率非常低，提出一种索引分段堆排序相位解缠方法。通过结合传统质量图的优点，将QPDVC作为质量图，并利用索引分段堆排序法将大型相位数据分成多个小堆，从而节省了堆排序过程中调整为最小堆的时间。与传统方法相比，提高了解缠精度和效率。最后，通过相关实验数据仿真证明了该方法的高效性和可行性。

关键词: 干涉合成孔径雷达（InSAR）, 相位解缠, 质量图, 索引分段堆排序