On Data Mining in Inverse Scattering Problems: Neural Networks Applied to GPR Data Analysis
نویسندگان
چکیده
This paper presents a (semi-)automatic processing technique for GPR data analysis. Exploiting the generalization capabilities of artificial neural networks (ANN), it will be shown that it is possible to feed a Multi-Layer Perceptron (MLP) with a suitable set of input features in order to determine the permittivity of a ground layer. A detailed performance assessment have proven that the algorithm provides very promising results, reconstructing with high accuracy the dielectric properties of both planar and rough surfaces. Some critical issues have anyway emerged that limit the effectiveness of the method to lossless media.
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