全极化探地雷达多极化数据融合分析研究

薛策文 冯晅 李晓天 梁文婧 周皓秋 王颖

薛策文, 冯晅, 李晓天, 等. 全极化探地雷达多极化数据融合分析研究[J]. 雷达学报, 2021, 10(1): 74–85. doi: 10.12000/JR20104
引用本文: 薛策文, 冯晅, 李晓天, 等. 全极化探地雷达多极化数据融合分析研究[J]. 雷达学报, 2021, 10(1): 74–85. doi: 10.12000/JR20104
XUE Cewen, FENG Xuan, LI Xiaotian, et al. Multi-polarization data fusion analysis of full-polarimetric ground penetrating radar[J]. Journal of Radars, 2021, 10(1): 74–85. doi: 10.12000/JR20104
Citation: XUE Cewen, FENG Xuan, LI Xiaotian, et al. Multi-polarization data fusion analysis of full-polarimetric ground penetrating radar[J]. Journal of Radars, 2021, 10(1): 74–85. doi: 10.12000/JR20104

全极化探地雷达多极化数据融合分析研究

doi: 10.12000/JR20104
基金项目: 国家重点研发计划(2018YFC1503705),近地面探测技术重点实验室(6142414180911),中央高校基础研究基金(20130061110061),吉林省科技发展项目(20180101091JC)
详细信息
    作者简介:

    薛策文(1996–),男,吉林人,吉林大学硕士生,研究方向为全极化探地雷达数据融合,探地雷达数据处理。E-mail: xuecw18@mails.jlu.edu.cn

    冯 晅(1973–),男,博士,教授,博士生导师,吉林大学地球探测科学与技术学院副院长。2002年获吉林大学博士学位;日本東北大学(Tohoku University)博士后、研究助手(2003–2006);美国麻省理工学院(MIT)访问学者(2014–2016); IEEE Senior Member。教育部新世纪优秀人才,国土资源部国土资源杰出青年科技人才。主要研究方向为全极化探地雷达地下探测理论和技术、非线性弹性地震学。E-mail: fengxuan@jlu.edu.cn

    李晓天(1995–),男,河南人,吉林大学硕士生,研究方向全极化探地雷达系统、探地雷达数据处理。E-mail: lixt@mails.jlu.edu.cn

    通讯作者:

    冯晅 fengxuan@jlu.edu.cn

  • 责任主编:雷文太 Corresponding Editor: LEI Wentai
  • 中图分类号: P631

Multi-polarization Data Fusion Analysis of Full-Polarimetric Ground Penetrating Radar

Funds: The National Key Research and Development Program of China (2018YFC1503705), The Science and Technology on Near-Surface Detection Laboratory (6142414180911), The Fundamental Research Funds for the Central Universities (20130061110061), The Technology Development Program of Jilin Province (20180101091JC)
More Information
  • 摘要: 对于相同地下目标体,相比大部分传统单极化探地雷达,全极化探地雷达(FP-GPR)可以测得更全面的极化数据,称为VV, HH, VH。为了对地下目标体进行更全面精细的成像和识别, 数据融合技术被应用于FP-GPR将3种不同极化模式的极化信息结合起来。然而,目前全极化探地雷达数据融合常用的加权平均融合方法,它会掩盖全极化的优点,同时也无法同时适应不同的散射机制。因此,该文提出了基于主成分分析(PCA),拉普拉斯金字塔(LP)以及多尺度小波变换(WT)的3种FP-GPR数据融合方法。为了检验几种数据融合方法的可靠性,该文在实验室分别测量了代表3种不同基本散射机制目标体的FP-GPR数据进行分析, 引入瞬时振幅为主、梯度为辅的方法将加权平均融合方法与3种方法进行比较。结果表明该研究所应用的3种数据融合方法效果均优于加权平均融合,并且3种方法可以分别适应不同散射机制的目标体,主成分分析融合可以更好的应用于未知散射机制目标体。最后,将主成分分析融合应用于实际冰裂缝数据成像,得到很好的融合效果,且优于加权平均融合方法。

     

  • 图  1  全极化探地雷达系统中的天线配置

    Figure  1.  Antenna configurations used in a FP-GPR system

    图  2  金属目标体

    Figure  2.  Metallic targets

    图  3  FP-GPR系统

    Figure  3.  FP-GPR system

    图  4  板的FP-GPR图像

    Figure  4.  FP-GPR image of plate

    图  5  二面角的FP-GPR图像

    Figure  5.  FP-GPR image of dihedral

    图  6  多分支散射体的FP-GPR图像

    Figure  6.  FP-GPR image of multi-branch scatterer

    图  7  板偏移后融合图像

    Figure  7.  Fusion images of plate after migration

    图  8  板偏移后融合瞬时振幅图

    Figure  8.  Fusion instantaneous amplitude images of plate after migration

    图  9  板偏移后融合梯度图

    Figure  9.  Fusion gradient images of plate after migration

    图  10  二面角偏移后融合图像

    Figure  10.  Fusion images of dihedral after migration

    图  11  二面角偏移后融合瞬时振幅图

    Figure  11.  Fusion instantaneous amplitude images of dihedral after migration

    图  12  二面角偏移后融合梯度图

    Figure  12.  Fusion gradient images of dihedral after migration

    图  13  多分支散射体偏移后融合图像

    Figure  13.  Fusion images of multi-branch scatterer after migration

    图  14  多分支散射体偏移后融合瞬时振幅图

    Figure  14.  Fusion instantaneous amplitude images of multi-branch scatterer after migration

    图  15  多分支散射体偏移后融合梯度图

    Figure  15.  Fusion gradient images of multi-branch scatterer after migration

    图  16  冰裂缝实验

    Figure  16.  Ice crack experiment

    图  17  冰裂缝FP-GPR数据图像

    Figure  17.  FP-GPR image of ice crack

    图  18  冰裂缝偏移后融合图像

    Figure  18.  Fusion images of ice crack after migration

    图  19  冰裂缝偏移后融合瞬时振幅图

    Figure  19.  Fusion instantaneous amplitude images of ice crack after migration

    图  20  冰裂缝偏移后融合梯度图

    Figure  20.  Fusion gradient images of ice crack after migration

    表  1  瞬时振幅最大值

    Table  1.   Max of instantaneous amplitude

    目标体加权平均PCALPWT
    0.00660.01500.01340.0183
    二面角0.00310.01190.00940.0100
    多分支散射体3.0135×10–48.707×10-48.6279×10–48.7215×10–4
    下载: 导出CSV

    表  2  梯度最大值

    Table  2.   Max of gradient

    目标体加权平均PCALPWT
    8.8737×10–92.0838×10–81.9288×10–99.5532×10–8
    二面角9.0147×10–91.6597×10–83.5484×10–86.0511×10–8
    多分支散射体9.0209×10–102.3254×10–92.4932×10–93.8864×10–9
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-07-21
  • 修回日期:  2020-09-27
  • 网络出版日期:  2021-02-25

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