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Proceedings Paper

Localization and characterization of buried objects from multifrequency array inductive data
Author(s): Mustafa Oezdemir; Eric L. Miller; Stephen Norton
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Paper Abstract

The problem of mine localization and characterization form electromagnetic induction data is addressed. We consider processing techniques based on an inductive sensor model originally proposed by Das et. al. Given this model we examine estimation-theoretic methods for determining an object's center, its orientation, and scattering characteristics from low frequency spectroscopic data obtained over a grid of spatial locations. Under this model, the data are linear functions of the multiple moment spectra and non-linearity related to object's location and rotation angles. An estimation procedure based on a low-dimensional non-linear optimization routine for the determination of the object center and rotation angles is employed with a linear lest squares inversion method used to estimate the multiple moment spectra. Examples are provided for ellipsoidal objects.

Paper Details

Date Published: 2 August 1999
PDF: 11 pages
Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); doi: 10.1117/12.357054
Show Author Affiliations
Mustafa Oezdemir, Northeastern Univ. (Germany)
Eric L. Miller, Northeastern Univ. (United States)
Stephen Norton, Geophex, Ltd. (United States)

Published in SPIE Proceedings Vol. 3710:
Detection and Remediation Technologies for Mines and Minelike Targets IV
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Regina E. Dugan, Editor(s)

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