A robust neural network tool for the identification of buried cylinders by a subsurface radar system


This paper is concerned with the application of a neural network based algorithm to face the electromagnetic inverse scattering problem of reconstructing dielectric cylinders with time-domain data, as those that can he available at the receiving terminals of a short-pulse GPR (Ground Penetrating Radar) [l] system. The algorithm can he suitably applied when… (More)


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