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Proceedings Paper

Statistical clutter modeling and parameter estimation for the characterization of buried objects using frequency-domain electromagnetic induction sensing
Author(s): Mustafa Oezdemir; Eric L. Miller; Alan J. Witten
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Paper Abstract

The problem of low metal content mine characterization form broadband electromagnetic induction (BEMI) data is addressed. A stochastic model describing the spatial distribution of clutter is developed and methods for estimating and removing this unwanted interference are described and tested. After removing the clutter from the signal, a technique is introduced for extracting from BEMI data information describing the location, orientation and structure of the buried object. Examples are provided for spherical and ellipsoidal mines.

Paper Details

Date Published: 22 August 2000
PDF: 11 pages
Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); doi: 10.1117/12.396277
Show Author Affiliations
Mustafa Oezdemir, Northeastern Univ. (Germany)
Eric L. Miller, Northeastern Univ. (United States)
Alan J. Witten, Univ. of Oklahoma (United States)


Published in SPIE Proceedings Vol. 4038:
Detection and Remediation Technologies for Mines and Minelike Targets V
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Regina E. Dugan, Editor(s)

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