Paper
29 April 2008 High definition impedance imaging for mines and tunnels
A. Wexler, Patrick A. O'Connor, J. McFee
Author Affiliations +
Abstract
The high definition impedance imaging (HDII) Electroscan algorithm casts the error norm problem into the interior of the region and iteratively minimizes the difference norm calculated between solutions achieved for applied currents (i.e. the Neumann problem) and the solution achieved for the measured voltages (i.e. the Dirichlet problem) - in the electrical-excitation case. This results in very sparse matrices instead of densely-packed Jacobian matrices. Minimization of the error yields a three-dimensional image of the conductivity distribution. The paper presents a rapid, sparse-matrix methodology for high definition admittivity imaging involving a very large number of voxels. It is a least-square algorithm, simultaneously involving all excitations, and it is error resilient and well-conditioned. The solution iterative procedure is accelerated by a variety of means such as: solution of mutually-constrained, three-dimensional field equations; successive point-iterative overrelaxation; multi-acceleration factors; measurements at a multiplicity of electrodes; and excitation modification for image enhancement. Laboratory, field, and simulation case studies are presented. Spatially restricted-region and open-region solutions are compared. Signal-source modeling is not required. Conductivity and, generally, admittivity values are able to be determined. And so, the imaging process has diagnostic capability. It is applicable to non-contact standoff excitations, e.g. magnetic fields, microwave/radar, sonic and elasticity wave excitations.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Wexler, Patrick A. O'Connor, and J. McFee "High definition impedance imaging for mines and tunnels", Proc. SPIE 6953, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIII, 695306 (29 April 2008); https://doi.org/10.1117/12.777668
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Cited by 2 scholarly publications.
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KEYWORDS
Electrodes

Chemical elements

Land mines

Matrices

3D image processing

Image enhancement

Image restoration

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