• DocumentCode
    2306287
  • Title

    Seismic Imaging and Detection of Underground Tunnels

  • Author

    Gurbuz, Ali Cafer ; McClellan, James H. ; Scott, Waymond R. ; Larson, Gregg D.

  • Author_Institution
    Elektrik ve Bilgisayar Muhendisligi Bolumu, Georgia Inst. of Technol., Atlanta, GA
  • fYear
    2006
  • fDate
    17-19 April 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    To investigate the problem of detecting and imaging underground tunnels, an experimental system that utilizes seismic waves has been constructed. Seismic reflections from the tunnel are transformed into a 3D image using a synthetic aperture time- delay backprojection algorithm. Results from experimental data show that the tunnel is directly visible in the backprojected image. Nevertheless, tunnels with low signal to noise ratio (SNR) are located using 2D and 3D Radon Transforms followed by a detection algorithm. A simulation is performed on the performance of the Radon transform for detecting lines in noisy images and it is shown how lines in very low SNR images can be detected. Also it is observed that longer lines have higher probability of detection at the same noise level.
  • Keywords
    geophysical techniques; seismology; synthetic aperture radar; tunnels; 3D image; Radon transforms; seismic detection; seismic imaging; synthetic aperture time-delay backprojection algorithm; underground tunnels; Detection algorithms; Network address translation; Noise level; Petroleum; Reflection; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications, 2006 IEEE 14th
  • Conference_Location
    Antalya
  • Print_ISBN
    1-4244-0238-7
  • Type

    conf

  • DOI
    10.1109/SIU.2006.1659837
  • Filename
    1659837