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Titel |
Contribution of 3-D electrical resistivity tomography for landmines detection |
VerfasserIn |
M. Metwaly, G. El-Qady, J. Matsushima, S. Szalai, N. S. N. Al-Arifi, A. Taha |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1023-5809
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Digitales Dokument |
URL |
Erschienen |
In: Nonlinear Processes in Geophysics ; 15, no. 6 ; Nr. 15, no. 6 (2008-12-11), S.977-986 |
Datensatznummer |
250012813
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Publikation (Nr.) |
copernicus.org/npg-15-977-2008.pdf |
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Zusammenfassung |
Landmines are a type of inexpensive weapons widely used in the
pre-conflicted areas in many countries worldwide. The two main types are the
metallic and non-metallic (mostly plastic) landmines. They are most commonly
investigated by magnetic, ground penetrating radar (GPR), and metal detector
(MD) techniques. These geophysical techniques however have significant
limitations in resolving the non-metallic landmines and wherever the host
materials are conductive. In this work, the 3-D electric resistivity
tomography (ERT) technique is evaluated as an alternative and/or
confirmation detection system for both landmine types, which are buried in
different soil conditions and at different depths. This can be achieved
using the capacitive resistivity imaging system, which does not need direct
contact with the ground surface. Synthetic models for each case have been
introduced using metallic and non-metallic bodies buried in wet and dry
environments. The inversion results using the L1 norm least-squares
optimization method tend to produce robust blocky models of the landmine
body. The dipole axial and the dipole equatorial arrays tend to have the
most favorable geometry by applying dynamic capacitive electrode and they
show significant signal strength for data sets with up to 5% noise.
Increasing the burial depth relative to the electrode spacing as well as the
noise percentage in the resistivity data is crucial in resolving the
landmines at different environments. The landmine with dimension and burial
depth of one electrode separation unit is over estimated while the spatial
resolutions decrease as the burial depth and noise percentage increase. |
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