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Volume 6 Number 6
  • ISSN: 1569-4445
  • E-ISSN: 1873-0604

Abstract

ABSTRACT

Ground‐penetrating radar (GPR) is a promising technique for demining procedures since it is able to detect both plastic and metal cased antipersonnel landmines. Yet, landmine identification using GPR is a challenging task since other buried reflectors such as stones or metallic debris can be detected. In this paper, a target discrimination approach is analysed and tested experimentally. It is based on relevant features extracted from 1D, GPR signals in the time frequency domain using the Wigner‐Ville distribution. Firstly, a filtering algorithm is applied to remove unwanted reflections from the background (e.g., soil surface reflection). Secondly, the preprocessed signal is transformed into a time frequency image using the Wigner‐Ville distribution. Finally, relevant features are extracted based on the singular value decomposition of the time frequency distribution. The algorithm is tested on radar data collected using two different hand‐held systems: (i) an impulse GPR‐based dual‐sensor system and (ii) a stepped‐frequency continuous‐wave GPR. Data were acquired over different types of soil and for different landmines and objects. Results are compared to features extracted using the wavelet transform and the Wilk’s lambda value is used as a criterion for optimal discrimination. Promising results are obtained, which show that time frequency features from Wigner‐Ville distribution could be used for differentiating between landmines and false alarms and could contain more valuable information than the features extracted using wavelet transform.

© European Association of Geoscientists and Engineers © 2008 European Association of Geoscientists and Engineers
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2008-09-01
2024-04-25

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References

  1. BaumC.1998. Detection and Identification of Visually Obscured Targets. Taylor & Francis.
     [Google Scholar]
  2. BrunzellH.1999. Detection of shallowly buried objects using impulse radar.IEEE Transactions on Geoscience and Remote Sensing37, 875–886.
     [Google Scholar]
  3. BruschiniC., GrosB., GuerneF., PiceP. and CarmonaO.1998. Ground penetrating radar and imaging metal detector for antipersonnel mine detection.Journal of Applied Geophysics40, 59–71.
     [Google Scholar]
  4. ChenC. and PetersL.1997. Buried unexploded ordonance identification via complex natural resonances.IEEE Transactions on Antennas and Propagation45, 1645–1654.
     [Google Scholar]
  5. CohenL.1995. Time‐frequency Analysis. Prentice Hall.
     [Google Scholar]
  6. DanielsD.1996. Surface Penetrating Radar. The Institute of Electrical Engineering, London.
     [Google Scholar]
  7. DanielsD.2004. Ground Penetrating Radar, 2nd edn. The Institute of Electrical Engineering, London. ISBN 0863413609.
     [Google Scholar]
  8. GaderP.D., KellerJ.M. and NelsonB.2001. Recognition technology for the detection of buried landmines.IEEE Transactions on Fuzzy Systems9, 31–43.
     [Google Scholar]
  9. GaunaurdG. and StriforsH.1999. Applications of time‐frequency signature analysis to target identification. In: SPIE Wavelet Applications VI (ed. C.Nguyen ), pp. 78–90. SPIE, Orlando, FL.
     [Google Scholar]
  10. HoK.C. and GaderP.D.2002. A linear prediction landmine detection algorithm for hand held ground penetrating radar.IEEE Transactions on Geoscience and Remote Sensing40, 1374–1384.
     [Google Scholar]
  11. HuynenI., van den BoschI. and SteiselJ.2003. Detection of natural frequencies as signature of buried cylindrical targets. In: Proceedings of the Eudem2‐Scot International Conference on Requirements and Technologies for the Detection, Removal and Neutralization of Landmines and UXO (eds H.Sahli , A.Bottoms and J.Cornelis ), pp. 270–275. VUB, Brussels, Belgium.
     [Google Scholar]
  12. JohnsonR. and WichernD.2002. Applied Multivariate Statistical Analysis, Section IV: Classification and Grouping Techniques. Prentice Hall.
     [Google Scholar]
  13. van KempenL.2006. Ground penetrating radar for anti‐personnel landmine detection. PhD thesis, Vrije Universiteit Brussel, Belgium.
     [Google Scholar]
  14. van der KrukJ., WapenaarC., FokkemaJ. and van der BergP.2003. Three‐dimensional imaging of multicomponent ground penetrating radar data. Geophysics57, 1241–1254.
     [Google Scholar]
  15. LambotS., SlobE., van den BoschI., StockbroeckxB. and VancloosterM.2004. Modeling of ground‐penetrating radar for accurate characterization of the subsurface dielectric properties.IEEE Transactions on Geoscience and Remote Sensing42, 2555–2568.
     [Google Scholar]
  16. Lambot, S., WeihermüllerL., HuismanJ.A., VereeckenH., VancloosterM. and SlobE.C.2006. Analysis of air‐launched ground‐penetrating radar techniques to measure the soil surface water content.Water Resources Research42, W11,403. doi:10.1029/2006WR005,097
     [Google Scholar]
  17. LoperaO.2008. An integrated detection and identification methodology applied to ground‐penetrating radar data for humanitarian demining applications. PhD thesis, Université catholique de Louvain, Belgium – École royale militaire, Belgium – Universidad de Los Andes, Colombia.
     [Google Scholar]
  18. LoperaO., LambotS., SlobE., VancoolsterM., MacqB. and MilisavljevicN.2006. A new integrated approach for characterizing the soil electromagnetic properties and detecting landmines using a hand‐held vector network analyzer.Proceedings of the SPIE6217, 62170. doi:10.1117/12.665654.
     [Google Scholar]
  19. LoperaO., MilisavljevicN. and LambotS.2007a. Clutter reduction in GPR measurements for detecting shallowly buried landmines: a Colombian case study.Near Surface Geophysics5, 73–80.
     [Google Scholar]
  20. LoperaO., SlobE., MilisavljevicN. and LambotS.2007b. Filtering soil surface and antenna effects from GPR data to enhance landmine detection.IEEE Transactions on Geoscience and Remote Sensing45, 707–717.
     [Google Scholar]
  21. MacDonaldJ., LoockwoodJ., AltshulerT., BroachT., CarinL., HarmonR., RappaportC., ScottW. and WeaverR.2003. Alternatives for Landmine Detection. RAND, Santa Monica, CA.
     [Google Scholar]
  22. MarinovicN. and EichmannG.1985. An expansion of Wigner distribution and its applications. In: Proceedings of ICASSP'85, pp. 1021–1024. Tampa, FL.
     [Google Scholar]
  23. NagS. and PetersL.2001. Radar images of penetrable targets generated form ramp profile functions.IEEE Transactions on Antennas and Propagation49, 32–40.
     [Google Scholar]
  24. RothF., van GenderenP. and VerhaegenM.2001. Analysis of the influence of mine and soil properties on features extracted from GPR data. In: Proceedings of SPIE, Detection and Remediation Technologies for Mines and Minelike Targets IV, pp. 428–439. SPIE, Orlando, FL.
     [Google Scholar]
  25. RothF., van GenderenP. and VerhaegenM.2004. Radar scattering models for the identification of buried low metal content landmines. In: Tenth International Conference on Ground Penetrating Radar (ed. A.Yarovoy ), pp. 689–692. TU Delft, The Netherlands.
     [Google Scholar]
  26. SaiB. and LigthartL.2004. GPR phase‐based techniques for profiling rough surfaces and detecting small, low‐contrast landmines under flat ground.IEEE Transactions on Geoscience and Remote Sensing42, 318–388.
     [Google Scholar]
  27. SavelyevT., van KempenL., SahliH., SachsJ. and SatoM.2007. Investigation of time‐domain frequency features for GPR landmine discrimination.IEEE Transactions on Geoscience and Remote Sensing45, 118–129.
     [Google Scholar]
  28. ScheersB., PlasmanY., PietteM., AcheroyM. and VorstA.V.2000. Laboratory UWB GPR system for landmine detection.Proceedings of the Eighth International Conference on Ground Penetrating Radar, pp. 747–752. SPIE.
     [Google Scholar]
  29. StriforsH., BrusmarkB., GustaffsonA. and GaunaurdG.1996. Analysis in the joint time‐frequency domain of signatures extracted from targets buried underground. In: SPIE Automatic Object Recognition VI (ed. C.Nguyen ), pp. 152–163. SPIE, San Diego.
     [Google Scholar]
  30. YarovoyA., LigthartL., SchukinA. and KaplounI.2002. Polarimetric video impulse radar for landmine detection.Subsurface Sensing Technologies and Applications3, 271–293.
     [Google Scholar]
  31. ZhuQ. and CollinsL.M.2005. Application of feature extraction methods for landmine detection using the wichmann/niitek ground penetrating radar.IEEE Transactions on Geoscience and Remote Sensing43, 81–85.
     [Google Scholar]
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A time frequency domain feature extraction algorithm for landmine identification from GPR data
Near Surface Geophysics 6, 411 (2008); https://doi.org/10.3997/1873-0604.2008029
/content/journals/10.3997/1873-0604.2008029
/content/journals/10.3997/1873-0604.2008029
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  • Article Type: Research Article

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