A neural network approach to the interpretation of ground penetrating radar data

摘要

A neural procedure for the analysis of ground penetrating radar images is presented. The method works by adapting the input image to the search of some objects' signatures, that are successively identified by means of a recognition step using a back-propagation neural network. The results on actual data showing buried pipe signatures present the same degree of accuracy than the analyses performed by a human operator.