1887
Volume 17, Issue 2
  • ISSN: 1569-4445
  • E-ISSN: 1873-0604

Abstract

ABSTRACT

Ground‐penetrating radar is widely used in non‐destructive underground inspection because of its precision and high resolution, especially at shallow layers. However, single‐antenna ground‐penetrating radar data may lead to erroneous evaluations. To avoid this problem, we propose a fusion method for ground‐penetrating radar data acquired at different center frequencies. The datasets are first preprocessed using zero calibration and denoizing, and subsequently processed further using a novel algorithm for spatial (horizontal and vertical) calibration that produces results in the same spatial coordinate system. We carried out a comparative fusion experiment using Fourier, wavelet, S and principal‐component transforms and using data acquired at center frequencies 100, 200 and 400 MHz. Our results show that the proposed fusion algorithm can effectively exploit the complementarity and redundancy of information at different center frequencies, with the wavelet‐transform‐based fusion showing the best performance on image quality according to different metrics. Moreover, the proposed method enhanced the information entropy and the average gradient, whereas the root‐mean‐square error of the fusion data remained below 24%.

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/content/journals/10.1002/nsg.12033
2019-03-08
2024-04-20
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References

  1. AlhasanatM., Wan HussinW. and HassanatA.2011. Combining multifrequency GPR images and new algorithm to determine the location of non‐linear objects with civil engineering applications. Proceeding of Progress in Electromagnetics Research Symposium, Marrakesh, Morocco, pp. 1871–1874.
  2. BaoZ., XingM. and WangT.2005. Radar Imaging Technology. Electronic Industry Press.
    [Google Scholar]
  3. BoothA., EndresA. and MurrayT.2009. Spectral bandwidth enhancement of GPR profiling data using multiple‐frequency compositing. Journal of Applied Geophysics67, 88–97.
    [Google Scholar]
  4. De CosterA. and LambotS.2016. Multi‐frequency GPR data fusion. Proceedings of the 16th Conference of Ground Penetrating Radar, Hong Kong. IEEE.
  5. De CosterA. and LambotS.2018. Fusion of multifrequency GPR data freed from antenna effects. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing11, 664–674.
    [Google Scholar]
  6. FengW., LiuX., WangC. and ShiX.2017. A Real time data fusion method with multichannel ground penetrating radar. Modern Radar2, 66–68.
    [Google Scholar]
  7. GuoL.2006. Image Processing and Image Fusion. Northwestern Polytechnical University.
  8. HallD.L. and LlinasJ.1997. An introduction to multisensor data fusion. Proceedings of the IEEE , 1, 6–23.
  9. HarryM.J.2009. Ground penetrating radar: theory and applications. Amsterdam: Elsevier Science.
    [Google Scholar]
  10. HangR., LeiZ. and TengL.2016. Sinc interpolation based method for compensation of ionospheric dispersion effects on BOC signals with high subcarrier rate. Science China Information Sciences10, 40–44.
    [Google Scholar]
  11. LuanZ.2006 High Frequency Radar Data Fusion Research . Harbin Institute of Technology.
  12. NieJ., YouZ. and LiY.2000. Multi‐radar data processing (MRDP). Computer Application5, 1–3.
    [Google Scholar]
  13. StockwellR.G., Man‐sinhaL. and LoweR.P.1996. Localization of the complex spectrum: the S transform. IEEE Transactions on Signal Processing44, 998–1001.
    [Google Scholar]
  14. U.S. Department of Defense (DoD). 1991. Data fusion subpanel of the joint directors of laboratories. Technical Panel for C3, San Diego, CA. Data Fusion Lexicon.
  15. WuX. and LiuX.2004. A study on several key problems of data fusion in radar netting. Modern Radar3, 29–32.
    [Google Scholar]
  16. XuX., PengS.P., XiaY.H. and JiW.J.2014. The development of a multi‐channel GPR system for roadbed damage detection. Microelectronics Journal11, 1542–1555.
    [Google Scholar]
  17. XiaoJ. and LiuL.2016. Permafrost subgrade condition assessment using extrapolation by deterministic deconvolution on multifrequency GPR data acquired along the Qinghai‐Tibet railway. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing9, 83–90.
    [Google Scholar]
  18. XiaoJ., WangY., LiuJ., WuX. and HuZ.2015. Method and system for combining seismic data and basin modeling. CN. Patent 201510183807.8.
  19. XuQ.2017. Research on the technology of road subsurface disease recognition based on ground penetrating radar image . China University of Mining and Technology (Beijing).
  20. XuX., YangF., QiaoX., HaoL. and LiS.2016. Research on GPR based method for detecting difference of underground diseases in urban roads. Science and Technology and Engineering6, 72–77.
    [Google Scholar]
  21. YangF., PengS. and ZhangQ.2007. Applied research on geological radar fine processing technology. Engineering Investigation4, 70–74.
    [Google Scholar]
  22. YueC. and WangZ.2007. Using ground penetrating radar to detect underground cavity. World Geology1, 114–117.
    [Google Scholar]
  23. YeF., HeF. and LiangD.2009. A new method of radar two‐dimensional signal fusion imaging based on EMEMP. Journal of Electronics12, 2609–2613.
    [Google Scholar]
  24. ZhangY.S., DaiC.G., ZhangY.B., DongG.J., LiuJ. and HuangX.B.2005. Space‐based Multi‐source Remote Sensing Information Fusion: Theory, Algorithm and Application System. Beijing: Science Press.
    [Google Scholar]
  25. ZhangL.P. and ShenH.F.2016. Progress and future of remote sensing data fusion. Journal of Remote Sensing5, 1050–1061.
    [Google Scholar]
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  • Article Type: Research Article
Keyword(s): Data fusion; GPR; Multi‐frequency; Time domain; Wavelet transform

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