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    Volume 45, Issue 3 (May 2017)

    Applications of Ground-Penetrating Radar (GPR) to Detect Hidden Beam Positions

    (Received 4 August 2015; accepted 23 February 2016)

    Published Online: 2017

    CODEN: JTEVAB

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    Abstract

    Ground-penetrating radar (GPR) uses electromagnetic waves to investigate the structures. In this investigation method, an electromagnetic wave is transmitted using an antenna and the received signal is recorded. Detection of beam positions in this GPR data requires the skills of a trained human operator. This study utilized a multi-layer neural network to detect beam positions in the GPR data. The visual description and definition of GPR data has major disadvantages and a neural network has been studied to overcome these shortcomings. A set of 32,740 training vectors with a length of 64 data was implemented to train the neural network. A new set of 16,370 testing vectors with a length of 64 data was then prepared to test the performance. Testing results suggest that the neural network is promising methods for the detection of beam positions in the GPR data.


    Author Information:

    Kilic, Gokhan
    Dept. of Civil Engineering, Izmir Univ. of Economics, Izmir,


    Stock #: JTE20150325

    ISSN:0090-3973

    DOI: 10.1520/JTE20150325

    Author
    Title Applications of Ground-Penetrating Radar (GPR) to Detect Hidden Beam Positions
    Symposium ,
    Committee A01