相位萃取技术在InSAR小数据集上的应用

发布时间：2019-02-24 18:01

【摘要】：相位萃取技术可最小化多基线InSAR处理中干涉像对的去相关噪声,已成为雷达干涉测量研究领域中热点技术之一。本文首先设计并实现了一套专门针对小数据集的基于相位萃取技术的多基线InSAR处理流程。整个流程分为两大模块。第一个模块为称为预处理模块,通过图像配准、地形相位移除等操作生成相位萃取技术所需的零基线SAR图像堆栈。第二个模块首先基于多视像元生成相干矩阵,并且在此基础上完成相位萃取操作。然后,利用小基线集技术的思想在萃取相位上分离出各相位稳定点上的形变情况。为了保证结果可靠性,在这一模块中还加入了大气相位预估与移除的步骤。最后,该流程被应用到了5景拍摄于太原地区的PALSAR图像上。实验结果表明,相位萃取技术在小数据集情况下仍然能够有效提升数据的相干性,这有利于多基线InSAR输出结果密度的提升。
[Abstract]:Phase extraction technique can minimize the de-correlation noise of interference image pair in multi-baseline InSAR processing. It has become one of the hot technologies in radar interferometry research field. In this paper, we first design and implement a set of multi-baseline InSAR processing flow based on phase extraction for small data sets. The whole process is divided into two modules. The first module is called preprocessing module. The zero-baseline SAR image stack is generated by image registration and topographic phase removal. In the second module, the coherent matrix is generated based on multi-video elements, and the phase extraction operation is completed. Then, using the idea of small baseline set technique, the deformation of each phase stable point is separated from the extraction phase. In order to ensure the reliability of the results, the steps of estimating and removing the atmospheric phase are also included in this module. Finally, the process was applied to 5 PALSAR images taken in Taiyuan. The experimental results show that the phase extraction technique can effectively improve the coherence of the data in the case of small data sets, which is conducive to the increase of the output density of multi-baseline InSAR.
【作者单位】：重庆大学通信工程学院;中国地震局地震预测研究所地震预测重点实验室;西南大学地理科学学院;
【基金】：国家自然科学基金(编号:41404027,41461164004) 国家国际科技合作专项项目(编号:2105DFR21100)~~
【分类号】：TN957.52

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