基于最小不连续的分块相位解缠算法

摘要

The phase unwrapping is a key step for the processing of interferometric synthetic aperture radar (InSAR) and interferometric synthetic aperture sonar (InSAS) data. A blocked phase unwrapping algorithm based on minimum discontinuity is proposed for large interferogram. Firstly, the phase quality map is computed from the interferogram and the wrapped phase is partitioned into high and low quality areas according to its quality map. Then the large interferogram is tessellated into small blocks, and each block is unwrapped by the weighted minimum discontinuity phase unwrapping algorithm simultaneously. Finally, the process of minimum discontinuity optimization is performed among the high and low quality regions of the different unwrapped blocks to get the final unwrapped result, and the blocked phase unwrapping algorithm is parallelized with a parallel programming tool OpenMP. The tests performed on InSAR and InSAS interferogram confirm the accuracy and high efficiency of the proposed algorithm.%相位解缠是干涉合成孔径雷达(interferometric synthetic aperture radar,InSAR)和干涉合成孔径声纳(interferometric synthetic aperture sonar,InSAS)数据处理中极其关键的步骤.针对大块干涉图的解缠效率低下的问题,提出了一种基于最小不连续的分块相位解缠方法.首先根据干涉相位图计算相位质量图,并按照质量阈值将干涉相位图分成高、低质量区域；然后将大块干涉图分成规则小块干涉图,采用带权重的最小不连续相位解缠算法同时对小块干涉图进行相位求解；最后在不同子数据解缠相位块的高、低质量区域之间进行最小不连续优化,求解最终解缠相位,并以并行编程标准OpenMP为基础对分决解缠算法进行了并行化.通过对InSAR和InSAS干涉图的解缠实验验证了分块相位解缠算法的正确性和高效性.