Location and continuous orientation estimation of buried targets using tensor extraction

Kyle Krueger; Waymond R. Scott Jr.; James H. McClellan

doi:10.1117/12.2018019

7 June 2013 Location and continuous orientation estimation of buried targets using tensor extraction

Kyle Krueger, Waymond R. Scott Jr., James H. McClellan

Proceedings Volume 8709, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVIII; 87090C (2013) https://doi.org/10.1117/12.2018019
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

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.

Citation Download Citation

Kyle Krueger, Waymond R. Scott Jr., and James H. McClellan "Location and continuous orientation estimation of buried targets using tensor extraction", Proc. SPIE 8709, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVIII, 87090C (7 June 2013); https://doi.org/10.1117/12.2018019

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