A Fast Method for InSAR Phase Unwrapping Based on Quality Guide
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摘要: 相位解缠是干涉SAR 数据处理中的关键步骤,解缠效果的好坏直接影响干涉测量的精度。该文针对质量指导的相位解缠方法需要进行大量排序操作,在干涉数据维度较大时解缠效率低下的问题,提出了一种基于堆排序的快速的质量指导相位解缠方法。首先通过干涉复数据对或干涉相位确定相位质量图。然后利用最大堆作为质量图排序的数据结构,通过对最大堆进行删除根结点、插入新结点操作的过程中始终保持最大堆的性质不变,从而实现了质量图的排序,完成了从高质量区域到低质量区域的相位解缠。与传统方法相比,基于堆排序的方法大大降低了计算的时间复杂度,对于干涉SAR 大面积测绘应用具有十分重要的意义。最后,通过仿真和实测数据验证了算法的正确性和高效性。Abstract: Phase unwrapping is a key issue in InSAR research. As a critical step of InSAR processing, it affects the accuracy of interferometry measurement directly. The efficiency of the traditional quality-guided phase unwrapping method is low due to a great deal of sorting, espceically for large interferogram. This paper proposes a highly efficient quality-guided phase unwrapping method based on heap sort in order to solve the problem. First, the quality map is caculated according to the interferometric complex data or interferogram. Next, with the max-heap acting as the data structure of sorting, its property is maintained while deleting root node and inserting new node, and thus the sorting of quality map is accomplished and the phase can be unwrapped from high quality areas to low quality areas. The improved algorithm reduces the computational complexity greatly compared with traditional methods, which is significant in large area mapping of InSAR. At the end of the paper, the simulated and experimental results show the accuracy and the efficiency of the algorithm.
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Key words:
- Interferometric SAR (InSAR) /
- Interferometric phase /
- Phase unwrapping /
- Quality map /
- Heap sort
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