基于最小二乘的GBSAR影像相位解缠算法

Phase unwrapping algorithm of GBSAR image based on least squares

GBSAR是近年来新兴的一种新型地对地观测设备,其形变监测精度可达毫米、亚毫米级,在小范围形变监测领域表现出巨大的应用潜力。相位解缠是其后续数据处理流程中的一个重要环节,相位解缠的精度直接影响最终的形变精度。本文研究了最小二乘法在GBSAR影像相位解缠算法中的应用效果,并利用仿真数据和真实数据进行试验验证,试验结果表明加权多重网格法能够较好地兼顾解缠效率及解缠精度,是最小二乘解缠算法中一种良好方法。

GBSAR is a new type of ground-to-ground observation equipment emerging in recent years.Its deformation monitoring accuracy can reach millimeter even sub-millimeter levels,and it shows great application potential in the field of small-scale deformation monitoring.Phase unwrapping is an important part of its subsequent data processing process,and the accuracy of phase unwrapping directly affects the final deformation accuracy.In this paper,the application effect of least squares method in GBSAR image phase unwrapping algorithm is studied,and simulation data and real data are used for experimental verification.The experimental results show that the weighted multigrid method can better take into account the unwrapping efficiency and unwrapping accuracy,it is the best method in the least squares unwrapping algorithm.