InSAR相位解缠最大流/最小割权值改进算法  

The improved max-flow/min-cut weight algorithm for InSAR phase unwrapping

作　　者：高延东 贾义琨 李世金 陈宇[1,2] 李怀展 郑南山[1,2] 张书毕[1,2] GAO Yandong;JIA Yikun;LI Shijin;CHEN Yu;LI Huaizhan;ZHENG Nanshan;ZHANG Shubi(Key Laboratory of Land Environment and Disaster Monitoring of Natural Resources,China University of Mining and Technology,Xuzhou 221116,China;School of Environment and Spatial Informatics,China University of Mining and Technology,Xuzhou 221116,China)

机构地区：[1]中国矿业大学自然资源部国土环境与灾害监测重点实验室,江苏徐州221116 [2]中国矿业大学环境与测绘学院,江苏徐州221116

出　　处：《测绘学报》2024年第4期644-652,共9页Acta Geodaetica et Cartographica Sinica

基　　金：国家自然科学基金(42001409,U22A20569)。

摘　　要：InSAR已经在高精度DEM反演中得到了广泛应用,相位解缠技术是影响DEM获取精度的关键步骤之一,然而大梯度变化区域一直是影响解缠结果精度的核心问题。针对该问题,本文提出一种基于势函数改进权值的最大流/最小割相位解缠算法。首先,针对PUMA模型权值设置不合理的问题进行研究,利用外部已有DEM获取相位梯度变化的先验信息,将窗口最大绝对相位梯度值代入相应的势函数公式中获取权值;然后,通过对势函数权值的设置进行阈值调节,解决由于势函数权值设置不合理导致PUMA势函数无法发挥作用引起的解缠错误问题,进而提高大梯度变化区域相位解缠精度;最后,通过仿真数据和真实TanDEM-X InSAR数据对本文算法进行验证,并与已有方法进行对比。结果表明,仿真数据中本文算法可以提高至少44.93%的解缠精度,真实数据中在大梯度变化区域,本文算法较已有算法可以获得更大范围的有效解缠结果。InSAR has been widely used in high-precision DEM inversion.The accuracy of phase unwrapping is one of the key steps affecting the accuracy of DEM acquisition,however,the areas with large-gradient changes has been the core issue affecting the accuracy of the unwrapping results.To address this issue,a phase unwrapping max-flow/min-cut algorithm(PUMA)based on the improved weights of the potential function is proposed in this paper.Firstly,the problem of unreasonable weight setting of the PUMA model is studied,and the priori information of the phase gradient change is obtained by using the external existing DEM,and the window maximum absolute phase gradient values are substituted into the corresponding potential function equation to obtain the weight value.Then,through the threshold adjustment of the potential function weight setting,the problem of unwrapping errors caused by the inability of PUMA potential function to function due to unreasonable potential function weight setting is solved,and thus the phase unwrapping accuracy in the region of large gradient change is improved.Finally,the proposed method is validated by simulated data and real TanDEM-X InSAR data,and compared with existing phase unwrapping methods.The results show that the proposed algorithm can improve the deconvolution accuracy by at least 44.93%in the simulated data,and the proposed algorithm can obtain a larger range of effective unwrapping results than the existing algorithm in the region of large gradient variations in the real data.

关 键 词：INSAR 势函数 最大流/最小割 相位解缠 

分 类 号：P228[天文地球—大地测量学与测量工程]