基于GprMax的道路空洞全极化数据融合研究  

Full-Polarization Data Fusion of Road Cavity Based on GprMax

作　　者：余昆 朱洁[1] 杜卫峰 仝润北 YU Kun;ZHU Jie;DU Wei-feng;TONG Run-bei(China Academy of Transportation Sciences,Beijing 100029,China;CATS Testing Technology(Beijing)Co.,Ltd.,Beijing 100013,China)

机构地区：[1]交通运输部科学研究院,北京100029 [2]交科院检测技术(北京)有限公司,北京100013

出　　处：《交通运输研究》2022年第1期99-106,共8页Transport Research

基　　金：中央级公益性科研院所基本科研业务费项目(20207509)。

摘　　要：为充分挖掘全极化探地雷达探测道路空洞时的数据解译与融合规律,获取更加全面、准确的探测信息,以实际道路空洞为研究对象,首先利用GprMax数值建模软件对道路空洞进行全极化探测模拟,将获取到的极化数据图像化处理后,提取原始数据中蕴藏的极化特征,再采用主成分分析法对极化图像进行特征融合,最后将融合图像上的振幅最大值与初始极化图像进行比对。结果显示:融合图像的振幅最大值在单空洞条件下较VV、HH极化分别提升了约60%,20%,在“管线+空洞”条件下较VV极化提高了5倍,较HH极化则降低了约20%。用主成分分析法对雷达全极化数据进行融合,能得到更加真实、更高分辨率的探测图像。In order to fully excavate the data interpretation and fusion rules when the full-polarization ground penetrating radar detects road voids and obtain more comprehensive and accurate detection infor-mation,taking the actual road cavity as the research object,this paper firstly used GprMax numerical mod-elling software to simulate the full-polarization detection of road voids.After image processing of the ob-tained polarization data,the polarization features contained in the original data were extracted,and then the feature fusion of the polarization image was carried out by principal component analysis.Finally,the maxi-mum amplitude of the fused image was compared with the initial polarization image.The results show that the maximum amplitude of the fusion image is separately about 60%and 20%higher than that of VV and HH polarization under the condition of single cavity.It is 5 times higher than that of VV polarization under the condition of"pipeline+cavity",and about 20%lower than HH polarization.By using principal component analysis to fuse the radar full polarization data,a more realistic and higher resolution detection im-age can be obtained.

关 键 词：道路空洞 全极化探地雷达 数值建模 主成分分析 数据融合 

分 类 号：U412.2[交通运输工程—道路与铁道工程]