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Paper details
Number 4 - December 2015
Volume 25 - 2015
Neural networks as a tool for georadar data processing
Piotr Szymczyk, Sylwia Tomecka-Suchoń, Magdalena Szymczyk
Abstract
In this article a new neural network based method for automatic classification of ground penetrating radar (GPR) traces is
proposed. The presented approach is based on a new representation of GPR signals by polynomials approximation. The
coefficients of the polynomial (the feature vector) are neural network inputs for automatic classification of a special kind of
geologic structure—a sinkhole. The analysis and results show that the classifier can effectively distinguish sinkholes from
other geologic structures.
Keywords
neural networks, artificial neural networks, ground penetrating radar, classification of a geological structure, sinkhole