22 August 2000 Statistical clutter modeling and parameter estimation for the characterization of buried objects using frequency-domain electromagnetic induction sensing
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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.
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Mustafa Oezdemir, Eric L. Miller, Alan J. Witten, "Statistical clutter modeling and parameter estimation for the characterization of buried objects using frequency-domain electromagnetic induction sensing", Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); doi: 10.1117/12.396277; https://doi.org/10.1117/12.396277
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