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3D surface reconstruction by vector nonlinear Markov filtering of white-light interference fringe visibility

机译:矢量非线性马尔可夫滤波的白光干涉条纹可见度3D表面重建

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Abstract: Interferometric radar technique with low-coherent illumination provides comparatively large range of measurement definition by interference fringes visibility maxima location. The problem is that the interference fringes are often distorted by noise of speckles. Noise influence can be decreased by new method based on Markov theory of stochastic processes. Interferometric data are assumed to be a realization of random series of phase-shifting samples of vector signal with known stochastic properties. The processing algorithm gives the optimal assessment of vector of interference signal parameters, including visibility maximum position, on each point of phase shifting by the recurrence procedure of data processing. !10
机译:摘要:低相干照明的干涉雷达技术通过干涉条纹可见度的最大值位置提供了相对较大的测量范围。问题在于,干涉条纹通常会因斑点噪声而失真。可以采用基于马尔可夫随机过程理论的新方法来降低噪声影响。假设干涉数据是具有已知随机属性的矢量信号的相移采样的随机序列的实现。通过数据处理的递归过程,该处理算法可以对相移每个点上的干扰信号参数矢量进行最佳评估,包括可见性最大位置。 !10

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