ArticleOriginal scientific text
Title
Neural networks as a tool for georadar data processing
Authors 1, 2, 1
Affiliations
- Department of Automatics and Biomedical Engineering, AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059 Kraków, Poland
- Department of Geophysics, AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059 Kraków, Poland
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 network, artificial neural network, ground penetrating radar, geological structure, sinkhole
Bibliography
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Pages:
955-960
Main language of publication
English
Published
2015
Exact and natural sciences