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UNWRAPPING NOISY PHASE MAPS BY USE OF A MINIMUM-COST-MATCHING ALGORITHM

机译:通过使用最小成本匹配算法来消除嘈杂的相位图

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An algorithm for unwrapping noisy phase maps by means of branch cuts has been proposed recently. These cuts join discontinuity sources that mark the beginning or end of a 2 pi phase discontinuity. After the placement of branch cuts, the unwrapped phase map is unique and independent of the unwrapping route. We show how a minimum-cost-matching graph-theory method can be used to find the set of cuts that has the global minimum of total cut length, in time approximately proportional to the square of the number of sources. The method enables one to unwrap unfiltered speckle-interferometry phase maps at higher source densities (0.1 sources pixel(-1)) than any previous branch-cut placement algorithm. [References: 11]
机译:最近已经提出了一种通过分支切割来解开噪声相位图的算法。这些削减加入了不连续源,这些不连续源标记了2 pi相不连续的开始或结束。放置分支切口后,展开的相位图是唯一的,并且与展开的路线无关。我们展示了如何使用最小成本匹配图论方法来找到具有总最小切割长度的全局最小值的切割集合,该切割集合在时间上与来源数量的平方成正比。该方法使人们能够以比任何先前的分支切割放置算法更高的源密度(0.1个源像素(-1))解开未滤波的散斑干涉术相位图。 [参考:11]

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