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Spatial carrier phase-shifting algorithm based on least-squares iteration

机译:基于最小二乘迭代的空间载波相移算法

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摘要

An advanced spatial carrier phase-shifting (SCPS) algorithm based on least-squares iteration is proposed to extract the phase distribution from a single spatial carrier interferogram. The proposed algorithm divides the spatial carrier interferogram into four phase-shifted interferograms. By compensating for the effects of the variations of phase shifts between pixels and the variations of background and contrast, the proposed algorithm determines the local phase shifts and phase distribution simultaneously and accurately. Numerical simulations show that the accuracy of the proposed algorithm is obviously improved by compensating for the effects of background and contrast variations. The peak to valley of the residual phase error remains less than 0.002 rad when the magnitude of spatial carrier is in the range from pi/5 to pi/2 and the direction of the spatial carrier is in the range from 25 deg to 65 deg. Numerical simulations and experiments demonstrate that the proposed algorithm exhibits higher precision than the existing SCPS algorithms. The proposed algorithm is sensitive to random noise, but the error can be reduced by N~(1/2) times if N measurements are taken and averaged.
机译:提出了一种基于最小二乘迭代的高级空间载波相移算法,以从单个空间载波干涉图中提取相位分布。所提出的算法将空间载波干涉图分为四个相移干涉图。通过补偿像素之间相移变化以及背景和对比度变化的影响,该算法可以同时,准确地确定局部相移和相位分布。数值仿真表明,通过补偿背景和对比度变化的影响,该算法的准确性得到了明显提高。当空间载波的大小在pi / 5至pi / 2的范围内且空间载波的方向在25度至65度的范围内时,残留相位误差的峰谷均小于0.002 rad。数值仿真和实验表明,该算法比现有的SCPS算法具有更高的精度。所提出的算法对随机噪声敏感,但是如果进行N次测量并取平均值,则误差可减少N〜(1/2)倍。

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