DocumentCode
1578520
Title
Seismic Tunnel Imaging and Detection
Author
Gurbuz, A.C. ; McClellan, James H. ; Scott, Waymond R. ; Larson, G.D.
Author_Institution
Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2006
Firstpage
3229
Lastpage
3232
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
Radon transforms; buried object detection; geophysical signal processing; image processing; probability; seismic waves; tunnels; 2D Radon transform; 3D image; probability; seismic tunnel imaging-detection; seismic waves; synthetic aperture time-delay backprojection algorithm; underground tunnel; Acoustic reflection; Detection algorithms; Electromagnetic reflection; Image processing; Laboratories; Noise level; Seismic measurements; Seismic waves; Signal processing algorithms; Signal to noise ratio; Radon transforms; Seismic imaging; Seismic measurements; Seismic signal processing; Tunnel detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2006 IEEE International Conference on
Conference_Location
Atlanta, GA
ISSN
1522-4880
Print_ISBN
1-4244-0480-0
Type
conf
DOI
10.1109/ICIP.2006.312911
Filename
4107258
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