一种分区域的复合相位解缠算法

A Combined Phase Unwrapping Algorithm by Regions Partition

  • 摘要: 提出了一种分区域的复合相位解缠算法。首先根据相位质量图将缠绕相位分成高、低质量区域,并采用质量引导算法求解初始解缠相位。然后采用区域生长法识别出所有的低质量区域,每个低质量区域信息单独存储。最后依次对每个低质量区域进行最小不连续优化,获取最终的解缠相位。对InSAR干涉相位图的解缠试验结果表明,该方法计算效率较最小不连续性算法高一个量级,而计算精度优于质量引导算法,在两者之间取得了很好的平衡。

     

    Abstract: We propose a combined phase unwrapping algorithm using region partitioning. The wrapped phase image is partitioned into high and low quality areas according to its quality map, and a quality guided algorithm is performed to get the initial unwrapped result. A quality guided strategy is adopted to identify low quality areas, and each low quality area is stored separately. The low quality areas are optimized by a minimum discontinuity phase unwrapping algorithm one by one, and then the final unwrapped result is obtained. An unwrapping test performed on an InSAR interferogram shows that the proposed algorithm is more efficient than the minimum discontinuity phase unwrapping algorithm, and the unwrapped result was more accurate than results obatained from a quality guided algorithm.

     

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