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Proceedings Paper

Location and continuous orientation estimation of buried targets using tensor extraction
Author(s): Kyle Krueger; Waymond R. Scott; James H. McClellan
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Paper Abstract

Dictionary matching techniques have been an e ective way to detect the location and orientation of buried targets using electromagnetic induction (EMI) sensors. Two problems with dictionary detection are that they require a large amount of computer storage to enumerate nine dimensions, and fine discretization of the parameter space must be used to reduce modeling error. The proposed method shrinks the dictionary size by five orders of magnitude, and reduces modeling error by directly solving for the 3×3 tensor model of the target. A robust lowrank matrix approximation algorithm has been implemented which can also account for directional insensitivities in the measurements.

Paper Details

Date Published: 7 June 2013
PDF: 12 pages
Proc. SPIE 8709, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVIII, 87090C (7 June 2013); doi: 10.1117/12.2018019
Show Author Affiliations
Kyle Krueger, Georgia Institute of Technology (United States)
Waymond R. Scott, Georgia Institute of Technology (United States)
James H. McClellan, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 8709:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVIII
J. Thomas Broach; Jason C. Isaacs, Editor(s)

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