1887
Volume 5 Number 1
  • ISSN: 1569-4445
  • E-ISSN: 1873-0604

Abstract

ABSTRACT

Detection of land‐mines from ground‐penetrating radar data is a challenging task demanding accurate and useful filtering techniques to reduce soil‐surface and antenna reflections, which obscure the landmine response. In this paper, we apply and adapt a recently proposed filtering approach to enhance the detection of shallow buried anti‐personnel land‐mines from data acquired in typical mine‐affected soils in Colombia. The methodology combines a radar‐antenna‐subsurface model with phase‐shift migration to filter out antenna and soil‐surface effects from off‐ground monostatic radar two‐dimensional data. Firstly, antenna multiple reflections are removed using linear transfer functions. Secondly, simulated Green's functions accounting for the surface reflection are subtracted. These functions are derived using the relative dielectric permittivity of the surface, which is estimated by full‐wave inversion of the radar signal for measurements taken in local land‐mine‐free areas. Finally, the antenna radiation pattern effect is filtered out by performing phase‐shift migration, and information about size and shape is extracted. Data are acquired using a hand‐held vector network analyser connected to an off‐ground monostatic horn antenna. Typical Colombian targets such as low‐metallic anti‐personnel land‐mines and low‐ and non‐metallic improvised explosive devices are used. Results prove that the proposed technique effectively reduces clutter under non‐controlled conditions and yields target features that are useful for detection of these land‐mines.

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2006-10-01
2024-04-25
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References

  1. BrooksJ., van KempenL. and SahliH.2000. A primary study in adaptive clutter reduction and buried minelike target enhancement from GPR data. In: Detection and Remediation Technologies for Mines and Minelike Targets V (edited by SPIE ), pp. 1183–1192.
    [Google Scholar]
  2. BruschiniC., GrosB., GuerneF., PièceP. and CarmonaO.1998. Ground penetrating radar and imaging metal detector for antipersonnel mine detection. Journal of Applied Geophysics40, 59–71.
    [Google Scholar]
  3. DanielsD.J.2004. Surface Penetrating Radar, 2nd edn. The Institute of Electrical Engineers, London.
    [Google Scholar]
  4. DelboS., GambaP. and RoccatoD.2000. A fuzzy shell clustering approach to recognize hyperbolic signatures in subsurface radar images. IEEE Transactions on Geoscience and Remote Sensing38, 1447–1451.
    [Google Scholar]
  5. DogaruT. and CarinL.1998. Time‐domain sensing of targets buried under a rough air‐ground interface. IEEE Transactions on Antennas and Propagation40, 360–372.
    [Google Scholar]
  6. GaderP.D., KellerJ.M. and NelsonB.2001. Recognition technology for the detection of buried landmines. IEEE Transactions on Fuzzy Systems9, 31–43.
    [Google Scholar]
  7. GroenenboomJ. and YarovoyA.2002. Data processing and imaging in GPR system dedicated for landmine detection. Subsurface Sensing Technologies and Applications3, 387–402.
    [Google Scholar]
  8. 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]
  9. ICBL
    ICBL2004. Landmine Monitor Report 2005, Toward a Mine‐free World. Human Rights Watch, Washington D.C.
    [Google Scholar]
  10. van der KrukJ., WapenaarC., FokkemaJ. and van der BergP.2003. Three‐dimensional imaging of multi‐component ground penetrating radar data. Geophysics57, 1241–1254.
    [Google Scholar]
  11. LagariasJ., ReedsJ., WrightM. and WrightP.1998. Convergence properties of the Nelder–Mead simplex method in low dimensions. Siam Journal on Optimization9, 112–147.
    [Google Scholar]
  12. LambotS., LoperaO. and SlobE.C.2006a. Effect of the antenna height on the estimation of the soil electromagnetic properties using full‐wave inverse modeling of GPR data. Proceedings of the 11th International Conference on Ground Penetrating Radar (eds J.J.Daniels and C.C.Chen ). The Ohio State University, Columbus, Ohio, USA.
    [Google Scholar]
  13. 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]
  14. LambotS., WeihermüllerL., van den BoschI., VancloosterM. and SlobE.C.2005. Full‐wave inversion of off‐ground monostatic GPR signal focused on the surface reflection for identifying surface dielectric permittivity. Proceedings of the 3rd International Workshop on Advanced GPR (eds S.Lambot and A.G.Gorriti ), pp. 113–118. Delft University of Technology, Delft, The Netherlands.
    [Google Scholar]
  15. LambotS., WeihermüllerL., HuismanJ.A., VereeckenH., VancloosterM. and SlobE.C.2006b. Analysis of air‐launched ground‐penetrating radar techniques to measure the soil surface water content. Water Resources Research, 42, W11403, doi: 10.1029/2006WR005097.
    [Google Scholar]
  16. LoperaO., LambotS., MilisavljevicN., ScheersB. and van den BoschI.2005. Background subtraction in the frequency domain for focusing ground‐penetrating radar data. Proceedings of the 3rd International Workshop on Advanced GPR (eds S.Lambot and A.G.Gorriti ), pp. 25–30. Delft, The Netherlands.
    [Google Scholar]
  17. LoperaO., LambotS., SlobE., VancoolsterM., MacqB. and MilisavljevicN.2006a. A new integrated approach for characterizing the soil electromagnetic properties and detecting landmines using a handheld vector network analyzer. SPIE (eds J.T.Broach , R.S.Harmon and J.H.HollowayJr. ), doi: 10.1117/12.665654. Orlando, Florida USA.
    [Google Scholar]
  18. LoperaO. and MilisavljevicN.2006. Prediction of the effects of soil and target properties on the AP landmine detection performance of ground‐penetrating radar; a Colombian case study. Journal of Applied Geophysics, accepted.
    [Google Scholar]
  19. LoperaO., SlobE., MilisavljevicN. and LambotS.2006b. Filtering soil surface and antenna effects from GPR data to enhance landmine detection. IEEE Transactions on Geoscience and Remote Sensing, in press.
    [Google Scholar]
  20. MacDonaldJ., LockwoodJ., AltshulerT., BroachT., CarinL., HarmonR., RappaportC., ScottW. and WeaverR.2003. Alternatives for Landmine Detection. RAND, USA.
    [Google Scholar]
  21. MerweA. and GuptaI.2000. A novel signal processing technique for clutter reduction in GPR measurements of small, shallow landmines. IEEE Transactions on Geoscience and Remote Sensing38, 2627–2637.
    [Google Scholar]
  22. MichalskiK. and MosigJ.1997. Multilayered media Green's functions in integral equation formulations. IEEE Transactions on Antennas and Propagation45, 508–519.
    [Google Scholar]
  23. MilisavljevicN.2001. Analysis and fusion using belief functions theory of multisensor data for close‐range humanitarian mine detection. PhD thesis, Ecole Nationale Superieure des Telecommunications, France ‐Royal Military Academy, Belgium.
    [Google Scholar]
  24. RothF.2004. Convolutional models for landmine identification with ground penetrating radar. PhD thesis, Delft University of Technology, Delft, The Netherlands.
    [Google Scholar]
  25. RothF., van GenderenP. and VerhaegenM.2003. Processing and analysis of polarimetric ground penetrating radar landmine signatures. Proceedings of 2nd International Workshop on Advanced GPR (ed. A.Yarovoy ), pp. 70–75. 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, 318–418.
    [Google Scholar]
  27. ScheersB.2001. Ultra‐wideband ground penetrating radar with application to the detection of anti‐personnel landmines. PhD thesis, Catholic University of Louvain ‐ Royal Military Academy, Belgium.
    [Google Scholar]
  28. ScheersB., AcheroyM. and Vander VorstA.2001. Migration technique based on the time‐domain model of the ground penetrating radar. In: SPIE Surface and Subsurface Sensing Technologies and Applications III (ed. CamNguyen ), pp. 111–119. San Diego.
    [Google Scholar]
  29. ScheersB., PlasmanY., PietteM., AcheroyM. and Vander VorstA.2000. Laboratory UWB GPR system for landmine detection. Proceedings of the 8th International Conference on GPR (edited by SPIE ), pp. 747–752.
    [Google Scholar]
  30. StoltR.H.1978. Migration by Fourier transform. Geophysics43, 23–48.
    [Google Scholar]
  31. WallM., RechtsteinerA. and RochaL.2003. Singular Value Decomposition and Principal Component Analysis. Ch. 5, pp. 91–109. D.P. Berrar, Boston.
    [Google Scholar]
  32. YarovoyA., LigthartL., SchukinA. and KaplounI.2002. Polarimetric video impulse radar for landmine detection. Subsurface Sensing Technologies and Applications3, 271–293.
    [Google Scholar]
  33. ZhanG., TsangL. and PakK.1997. Studies of the angular correlation function of scattering by random rough surfaces with and without a buried object. IEEE Transactions on Geoscience and Remote Sensing35, 444–453.
    [Google Scholar]
  34. 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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