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| Titel |
Civil Engineering Applications of Ground Penetrating Radar Recent Advances @ the ELEDIA Research Center |
| VerfasserIn |
Marco Salucci, Lorenza Tenuti, Cristina Nardin, Giacomo Oliveri, Federico Viani, Paolo Rocca, Andrea Massa |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250087888
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| Publikation (Nr.) |
 EGU/EGU2014-1945.pdf |
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| Zusammenfassung |
| The application of non-destructive testing and evaluation (NDT/NDE) methodologies in civil
engineering has raised a growing interest during the last years because of its potential impact
in several different scenarios. As a consequence, Ground Penetrating Radar (GPR)
technologies have been widely adopted as an instrument for the inspection of the structural
stability of buildings and for the detection of cracks and voids. In this framework,
the development and validation of GPR algorithms and methodologies represents
one of the most active research areas within the ELEDIA Research Center of the
University of Trento. More in detail, great efforts have been devoted towards the
development of inversion techniques based on the integration of deterministic and
stochastic search algorithms with multi-focusing strategies. These approaches proved
to be effective in mitigating the effects of both nonlinearity and ill-posedness of
microwave imaging problems, which represent the well-known issues arising in
GPR inverse scattering formulations. More in detail, a regularized multi-resolution
approach based on the Inexact Newton Method (INM) has been recently applied to
subsurface prospecting, showing a remarkable advantage over a single-resolution
implementation [1]. Moreover, the use of multi-frequency or frequency-hopping
strategies to exploit the information coming from GPR data collected in time domain
and transformed into its frequency components has been proposed as well. In this
framework, the effectiveness of the multi-resolution multi-frequency techniques has been
proven on synthetic data generated with numerical models such as GprMax [2].
The application of inversion algorithms based on Bayesian Compressive Sampling
(BCS) [3][4] to GPR is currently under investigation, as well, in order to exploit
their capability to provide satisfactory reconstructions in presence of single and
multiple sparse scatterers [3][4]. Furthermore, multi-scaling approaches exploiting
level-set-based optimization have been developed for the qualitative reconstruction
of multiple and disconnected homogeneous scatterers [5]. Finally, the real-time
detection and classification of subsurface scatterers has been investigated by means of
learning-by-examples (LBE) techniques, such as Support Vector Machines (SVM)
[6].
Acknowledgment - This work was partially supported by COST Action TU1208 “Civil
Engineering Applications of Ground Penetrating Radar”
References
[1] M. Salucci, D. Sartori, N. Anselmi, A. Randazzo, G. Oliveri, and A. Massa, “Imaging
Buried Objects within the Second-Order Born Approximation through a Multiresolution
Regularized Inexact-Newton Method”, 2013 International Symposium on Electromagnetic
Theory (EMTS), (Hiroshima, Japan), May 20-24 2013 (invited).
[2] A. Giannopoulos, “Modelling ground penetrating radar by GprMax”, Construct.
Build. Mater., vol. 19, no. 10, pp.755 -762 2005
[3] L. Poli, G. Oliveri, P. Rocca, and A. Massa, "Bayesian compressive sensing
approaches for the reconstruction of two-dimensional sparse scatterers under TE
illumination," IEEE Trans. Geosci. Remote Sensing, vol. 51, no. 5, pp. 2920-2936, May.
2013.
[4] L. Poli, G. Oliveri, and A. Massa, "Imaging sparse metallic cylinders through a Local
Shape Function Bayesian Compressive Sensing approach," Journal of Optical Society of
America A, vol. 30, no. 6, pp. 1261-1272, 2013.
[5] M. Benedetti, D. Lesselier, M. Lambert, and A. Massa, "Multiple shapes
reconstruction by means of multi-region level sets," IEEE Trans. Geosci. Remote Sensing,
vol. 48, no. 5, pp. 2330-2342, May 2010.
[6] L. Lizzi, F. Viani, P. Rocca, G. Oliveri, M. Benedetti and A. Massa, "Three-dimensional
real-time localization of subsurface objects - From theory to experimental validation," 2009
IEEE International Geoscience and Remote Sensing Symposium, vol. 2, pp. II-121-II-124,
12-17 July 2009. |
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