A fast minimum discontinuity based phase unwrapping method

Junyi Xu, D. An, Xiaotao Huang, K. Ji
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引用次数: 1

Abstract

Phase unwrapping (PU) is important in reconstructing the digital elevation model (DEM) of a scene from its interferometric synthetic aperture radar (InSAR) data. The traditional minimum discontinuity PU algorithms are highly accurate while with time-consuming computation. To solve this problem, we combined a novel idea, fast pre-unwrapping where dipole cuts are generated and optimized, with Flynn's algorithm. The preliminary result obtained by the fast pre-unwrapping algorithm can be further optimized with Flynn's algorithm efficiently. The effectiveness and the efficiency are tested on the simulated and real InSAR data.
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基于最小不连续的快速相位展开方法
相位展开(PU)是利用干涉合成孔径雷达(InSAR)数据重建场景数字高程模型的重要方法。传统的最小间断PU算法精度高,但计算时间长。为了解决这个问题,我们结合了一个新颖的想法,即快速预展开,其中偶极子切割生成和优化,与Flynn算法相结合。快速预展开算法得到的初步结果可以用Flynn算法进一步优化。在模拟和真实InSAR数据上验证了该方法的有效性和效率。
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