Creator:

Szymczyk, Piotr ; Tomecka-Suchoń, Sylwia ; Szymczyk, Magdalena

Contributor:

Iacono, Mauro - ed. ; Kołodziej, Joanna - ed.

Title:

Neural networks as a tool for georadar data processing

Subtitle:

.

Group publication title:

AMCS, Volume 25 (2015)

Subject and Keywords:

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

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.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Date:

2015

Resource Type:

artykuł

DOI:

10.1515/amcs-2015-0068

Pages:

955-960

Source:

AMCS, volume 25, number 4 (2015) ; click here to follow the link

Language:

eng

License CC BY 4.0:

click here to follow the link

Rights:

Biblioteka Uniwersytetu Zielonogórskiego