1887

Abstract

Summary

GPR is one of the most regular applications for shallow explorations. In this study based on UDWT and f-x AR modeling, we tried to reduce the noise of real and synthetic sections. Several studies have been presented in this literature; Nuzzo et al, (2004) studied the attenuation of noise in the DWT domain that is compared with the results of the Radon transform and FT; They concluded that the discrete wavelet transform that provides high-quality results compared to Radon’s and the procedure is fast, in this domain the results are more accurate compared to the FT method.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201902373
2019-09-08
2024-04-25
Loading full text...

Full text loading...

References

  1. Annan, A. P.
    2001. “Ground penetrating radar.” Workshop notes no. September p. 192.
    [Google Scholar]
  2. Daniels, D. J.
    2004. Ground Penetrating Radar, Institution of Electrical Engineers, 726 pages.
    [Google Scholar]
  3. NuzzoL, and QuartaT.
    [2004] Improvement in GPR coherent noise attenuation using taup and wavelet transforms. Geophysics. 69, no.3, 789–802.
    [Google Scholar]
  4. Goudarzi, A. and RiahiM.A.
    , [2012] Seismic coherent and random noise attenuation using the undecimated discrete wavelet transform method with WDGA technique. Journal of Geophysics and Engineering, 9, 619–631
    [Google Scholar]
  5. Hornbostel, S.
    [1991] Spatial prediction filtering in the t-x and f-x domains. Geophysics2019–2026.
    [Google Scholar]
  6. BailiJ, LahouraS, HergliM, AL-QadiIL, and BesbesK
    ,[2009] GPR signal de-noising by discrete wavelet transform. NDT E Int, 42, no. 8, 696–703.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201902373
Loading
/content/papers/10.3997/2214-4609.201902373
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error