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Phase quality map based on local multi-unwrapped results for two-dimensional phase unwrapping

机译：基于局部多重展开结果的相位质量图，用于二维相位展开

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摘要

The efficiency of a phase unwrapping algorithm and the reliability of the corresponding unwrapped result are two key problems in reconstructing the digital elevation model of a scene from its interferometric synthetic aperture radar (InSAR) or interferometric synthetic aperture sonar (InSAS) data. In this paper, a new phase quality map is designed and implemented in a graphic processing unit (GPU) environment, which greatly accelerates the unwrapping process of the quality-guided algorithm and enhances the correctness of the unwrapped result. In a local wrapped phase window, the center point is selected as the reference point, and then two unwrapped results are computed by integrating in two different simple ways. After the two local unwrapped results are computed, the total difference of the two unwrapped results is regarded as the phase quality value of the center point. In order to accelerate the computing process of the new proposed quality map, we have implemented it in a GPU environment. The wrapped phase data are first uploaded to the memory of a device, and then the kernel function is called in the device to compute the phase quality in parallel by blocks of threads. Unwrapping tests performed on the simulated and real InSAS data confirm the accuracy and efficiency of the proposed method. (C) 2015 Optical Society of America
机译：相位展开算法的效率和相应展开结果的可靠性是从干涉合成孔径雷达（InSAR）或干涉合成孔径声纳（InSAS）数据重建场景的数字高程模型时的两个关键问题。本文在图形处理单元（GPU）环境中设计并实现了一种新的相质量图，这大大加快了质量指导算法的展开过程，并提高了展开结果的正确性。在局部包裹相位窗口中，选择中心点作为参考点，然后通过以两种不同的简单方式积分来计算两个未包裹的结果。在计算出两个局部解开结果之后，将两个解开结果的总和作为中心点的相位质量值。为了加快新提出的质量图的计算过程，我们已经在GPU环境中实现了它。包装的相位数据首先上载到设备的内存中，然后在设备中调用内核函数以通过线程块并行计算相位质量。对模拟和实际InSAS数据进行的解包测试证实了所提方法的准确性和效率。 （C）2015年美国眼镜学会

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