Title :
Identification of buried unexploded ordnance from broadband electromagnetic induction data
Author :
Norton, Stephen J. ; Won, I.J.
Author_Institution :
Geophex, Ltd, Raleigh, NC, USA
fDate :
10/1/2001 12:00:00 AM
Abstract :
A procedure is described for computing range and orientation invariant spectral signatures of buried unexploded ordnance (UXO) from electromagnetic induction (EMI) data. The normalized eigenvalues of the magnetic polarizability tensor that characterizes the target response are used as the orientation-invariant spectral signatures. It is shown that the eigenvalues can be normalized with respect to depth under the assumption that a multiplicative scale factor can be applied at all frequencies. The eigenvalues are derived by measuring the matrix elements of the polarizability tensor from above-ground spatial data and then by diagonalizing this matrix. This method is linear, and does not require a nonlinear parameter search. After normalizing for depth, the eigenvalues derived from an unknown object can then be compared with library eigenvalues using the L2 norm as a goodness-of-fit measure. The procedure is demonstrated using data obtained from cylinders and UXO at different orientations
Keywords :
buried object detection; electromagnetic induction; geophysical techniques; military systems; remote sensing; terrain mapping; terrestrial electricity; EM induction; L2 norm; UXO; broadband electromagnetic induction; buried object detection; goodness-of-fit measure; identification; land surface; magnetic polarizability tensor; measurement technique; military system; mine detection; multiplicative scale factor; normalized eigenvalues; orientation invariant spectral signatures; orientation-invariant spectral signatures; polarizability tensor; remote sensing; target response; terrain mapping; unexploded ordnance; Eigenvalues and eigenfunctions; Electromagnetic induction; Electromagnetic interference; Frequency; Libraries; Matrix decomposition; Polarization; Sensor phenomena and characterization; Tensile stress; Transmission line matrix methods;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on