
Proceedings Paper
Prediction of GPR performance in landmine detectionFormat | Member Price | Non-Member Price |
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Paper Abstract
The contrast in the dielectric constant between a landmine and the surrounding soil is one of the most important
parameters to be considered when using ground penetrating radar (GPR) for landmine detection. In this paper, we
discuss available models for the prediction of the dielectric constant from soil physical properties including bulk
density, particles density soil texture, and water content. We predict the effects of such properties on the antipersonnel
(AP) landmine detection performance of GPR in an application in Iran. Initially, available soil geophysical information
was used from four types of soil selected from Iranian mine-affected areas. Subsequently, a pedotransfer model was
developed to predict whether or not field conditions are appropriate for use of GPR instruments. The predictions
outcome obtained through usage of this model was based on different soil textures at various soil water contents.
Knowledge of soil texture, dry bulk density, and water content are necessary to determine whether soil conditions are
suitable for utilization of GPR mine detection. The developed model presented here can be useful for making this
determination. Finally, the graphical user interface (GUI) of the pedotransfer model was calculated and presented
herein. This software package facilitates the analysis of complex dielectric constant of soil as well as attenuation of
GPR signals. The developed package is also capable of plotting the complex dielectric constant of soil coupled with
attenuation of GPR signals versus soil physical properties.
Paper Details
Date Published: 8 April 2009
PDF: 12 pages
Proc. SPIE 7294, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2009, 72940V (8 April 2009); doi: 10.1117/12.812957
Published in SPIE Proceedings Vol. 7294:
Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2009
H. Felix Wu; Aaron A. Diaz; Peter J. Shull; Dietmar W. Vogel, Editor(s)
PDF: 12 pages
Proc. SPIE 7294, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2009, 72940V (8 April 2009); doi: 10.1117/12.812957
Show Author Affiliations
Mohammad Riahi, Iran Univ. of Science and Technology (Iran, Islamic Republic of)
Amirhossein Tavangar, Iran Univ. of Science and Technology (Iran, Islamic Republic of)
Published in SPIE Proceedings Vol. 7294:
Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2009
H. Felix Wu; Aaron A. Diaz; Peter J. Shull; Dietmar W. Vogel, Editor(s)
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