Advanced Image Processing Techniques for the Discrimination of Buried Objects

Authors

  • Rodolfo Araneo Department of Electrical Engineering Sapienza University of Rome, Rome, 00184, Italy
  • Sami Barmada Department of Energy and Systems Engineering University of Pisa, Pisa, 56122, Italy

Keywords:

Advanced Image Processing Techniques for the Discrimination of Buried Objects

Abstract

A numerical study for the electromagnetic detection of buried objects is presented. The whole GPR set-up is simulated through an integral formulation solved by means of the Method of Moments and a new discrimination process based on the 2D-Wavelet decomposition of computed electric field maps is proposed. The new wavelet methodology proves to be an effective tool for discrimination even in presence of noise.

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Published

2022-05-02

How to Cite

[1]
R. . Araneo and S. . Barmada, “Advanced Image Processing Techniques for the Discrimination of Buried Objects”, ACES Journal, vol. 26, no. 5, pp. 437–446, May 2022.

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