基于PySide的时序InSAR处理可视化及形变监测实验  

PySide-based Time-Series InSAR processing visualization and experimental application for deformation monitoring

作　　者：于志刚[1] 张光辉 张晨晰[1] 张卓普 王清标[1] YU Zhigang;ZHANG Guanghui;ZHANG Chenxi;ZHANG Zhuopu;WANG Qingbiao(College of Resources,Shandong University of Science and Technology,Tai’an 271000,China)

机构地区：[1]山东科技大学资源学院,山东泰安271000

出　　处：《测绘工程》2024年第6期41-48,共8页Engineering of Surveying and Mapping

基　　金：国家自然科学基金资助项目(52278359);泰安市科技创新发展项目(2022GX087)。

摘　　要：基于PySide等Python开源扩展包设计了时序InSAR处理可视化软件,用于实验教学。软件集成了影像搜索、像对组合、干涉解缠、时序处理、结果展示等功能。以山东省菏泽市郓城县城区地表沉降监测为例,进行实验处理,并与PSDS-InSAR方法进行精度对比。相较于传统命令行操作方式,该可视化软件极大地简化数据处理的复杂性,软件处理结果与PSDS-InSAR所得结果的相关性为0.9866。软件提高实验效率,降低实验难度,改善了实验效果,结果精度表明该软件也可直接应用于工程实践。Based on PySide and other Python open source extension packages,the Time-Series InSAR processing visualisation software was designed for experimental teaching.The software integrates the functions of image searching,image pair combining,interference and phase unwrapping,Time-Series processing,and result display.As an example,the surface settlement monitoring in the urban area of Yuncheng County,Heze City,Shandong Province,was processed experimentally and compared with the accuracy of PSDS-InSAR method.The results show that the visualisation software effectively reduces the complexity of the traditional command line method of data processing,and the correlation between the results of the software processing and the results obtained by PSDS-InSAR is 0.9866.The software improves the experimental efficiency,reduces the experimental difficulty and improves the experimental effect,and the resultant accuracy indicates that the software can also be directly applied to engineering practice.

关 键 词：可视化 时序InSAR 形变监测 实验教学 

分 类 号：P237[天文地球—摄影测量与遥感] TP311.1[天文地球—测绘科学与技术]