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Neural networks as a tool for georadar data processing

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Szymczyk P., Tomecka-Suchoń S., Szymczyk M.

International Journal of Applied Mathematics and Computer Science

2015

tom 25

nr 4

955-960

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.

Ograniczanie wyników

1 International Journal of Applied Mathematics and Computer Science

1 Szymczyk M.

1 Szymczyk P.

1 Tomecka-Suchoń S.

1 2015

Wyniki wyszukiwania

Neural networks as a tool for georadar data processing