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| Titel |
Detection of Heterogeneous Small Inclusions by a Multi-Step MUSIC Method |
| VerfasserIn |
Raffaele Solimene, Angela Dell'Aversano, Giovanni Leone |
| 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 |
250095758
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| Publikation (Nr.) |
 EGU/EGU2014-11228.pdf |
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| Zusammenfassung |
| In this contribution the problem of detecting and localizing scatterers with small (in terms of
wavelength) cross sections by collecting their scattered field is addressed. The problem is
dealt with for a two-dimensional and scalar configuration where the background is given as a
two-layered cylindrical medium. More in detail, while scattered field data are taken in the
outermost layer, inclusions are embedded within the inner layer. Moreover, the
case of heterogeneous inclusions (i.e., having different scattering coefficients) is
addressed.
As a pertinent applicative context we identify the problem of diagnose concrete pillars in
order to detect and locate rebars, ducts and other small in-homogeneities that can populate the
interior of the pillar.
The nature of inclusions influences the scattering coefficients. For example, the field
scattered by rebars is stronger than the one due to ducts. Accordingly, it is expected that the
more weakly scattering inclusions can be difficult to be detected as their scattered fields tend
to be overwhelmed by those of strong scatterers.
In order to circumvent this problem, in this contribution a multi-step MUltiple SIgnal
Classification (MUSIC) detection algorithm is adopted [1]. In particular, the first stage aims
at detecting rebars. Once rebars have been detected, their positions are exploited to update the
Green’s function and to subtract the scattered field due to their presence. The procedure is
repeated until all the inclusions are detected.
The analysis is conducted by numerical experiments for a multi-view/multi-static
single-frequency configuration and the synthetic data are generated by a FDTD forward
solver.
Acknowledgement
This work benefited from networking activities carried out within the EU funded
COST Action TU1208 "Civil Engineering Applications of Ground Penetrating
Radar."
[1] R. Solimene, A. Dell’Aversano and G. Leone, "MUSIC algorithms for rebar
detection," J. of Geophysics and Engineering, vol. 10, pp. 1-8, 2013 |
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