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Proceedings Paper

Location and orientation estimation of buried targets using electromagnetic induction sensors
Author(s): Kyle Krueger; Waymond R. Scott Jr.; James H. McClellan
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Paper Abstract

Dictionary matching techniques are an eective way to invert EMI measurements to detect properties of buried targets. A problem arises when trying to create a comprehensive dictionary that can account for location and orientation information for all types of useful targets because populating the dictionary would require the enumeration of parameters in a 7-dimensional space. This paper shows that the discrete spectrum of relaxation frequencies (DSRF) can be used to eliminate two of the dimensions entirely, and the singular value decomposition (SVD) will compress the dictionary by another two orders of magnitude. These dimensionality reducing techniques lead to an ecient dictionary matching algorithm for location and orientation estimates.

Paper Details

Date Published: 11 May 2012
PDF: 12 pages
Proc. SPIE 8357, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII, 83570D (11 May 2012); doi: 10.1117/12.919558
Show Author Affiliations
Kyle Krueger, Georgia Institute of Technology (United States)
Waymond R. Scott Jr., Georgia Institute of Technology (United States)
James H. McClellan, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 8357:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII
J. Thomas Broach; John H. Holloway Jr., Editor(s)

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