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.
Advanced image processing techniques for the discrimination of buried objects / Araneo, Rodolfo; S., Baramada. - In: APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL. - ISSN 1054-4887. - ELETTRONICO. - 26:5(2011), pp. 437-446.
Advanced image processing techniques for the discrimination of buried objects
ARANEO, Rodolfo;
2011
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.