NEURAL NETWORKS AS A TOOL FOR GEORADAR DATA PROCESSING

作者：Szymczyk Piotr^*; Tomecka Suchon Sylwia; Szymczyk Magdalena

来源：International Journal of Applied Mathematics and Computer Science, 2015, 25(4): 955-960.

DOI：10.1515/amcs-2015-0068

• neural networks
• artificial neural networks
• ground penetrating radar
• classification of a geological structure
• sinkhole

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.

• 出版日期2015-12