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GPR Data Processing Techniques

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Civil Engineering Applications of Ground Penetrating Radar

Abstract

Ground penetrating radar (GPR) is a non-destructive geophysical method that uses radar pulses to image the subsurface. Notwithstanding that it is particularly promising for soil studies, GPR is characterised by notoriously difficult automated data analysis. Hence, the focus of this chapter is to provide the reader with a deep understanding of the state of the art and open issues in the field of GPR data processing techniques as well as of the interesting application of GPR in the field of civil engineering. In particular, we present an overview on noise suppression, deconvolution, migration, attribute analysis and classification techniques for GPR data.

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Acknowledgments

The authors acknowledge the COST Action TU1208 “Civil Engineering Applications of Ground Penetrating Radar”, in support of this chapter.

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Authors and Affiliations

  1. Applied Geophysics Lab, School of Mineral Resources Engineering, Technical University of Crete, Polytechnioupolis-Chania, 731 00, Chania, Crete, Greece

    Nikos Economou & Antonis Vafidis

  2. Signal Processing for Telecommunications and Economics Lab, Department of Economics, Roma Tre University, Via Vito Volterra 62, 00146, Rome, Italy

    Francesco Benedetto

  3. School of Computing and Technology, University of West London, 8th floor, Villiers House, Ealing Broadway, London, W5 2PA, UK

    Amir M. Alani

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  1. Nikos Economou
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  2. Antonis Vafidis
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  4. Amir M. Alani
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Correspondence to Nikos Economou .

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Editors and Affiliations

  1. Department of Engineering, University Roma Tre, Rome, Italy

    Andrea Benedetto

  2. Department of Engineering, University Roma Tre, Rome, Italy

    Lara Pajewski

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Economou, N., Vafidis, A., Benedetto, F., Alani, A.M. (2015). GPR Data Processing Techniques. In: Benedetto, A., Pajewski, L. (eds) Civil Engineering Applications of Ground Penetrating Radar. Springer Transactions in Civil and Environmental Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-04813-0_11

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