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Proceedings Paper

Novel model based EMI processing framework
Author(s): Charles Ethan Hayes; James H. McClellan; Waymond R. Scott
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Paper Abstract

Wideband electromagnetic induction (WEMI) sensors can be used to detect, classify, and locate metallic targets buried underground. By examining the WEMI model from a new perspective, a low-rank equivalence for the WEMI data is obtained. The low-rank physical WEMI model directly leads to a new “filterless” processing framework that differs radically from traditional approaches to WEMI processing. The new framework enables target signature recovery independent of location estimation. Processing of field data with the new filterless WEMI framework is presented to show classification results based on the low-rank target signature.

Paper Details

Date Published: 3 May 2017
PDF: 17 pages
Proc. SPIE 10182, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII, 1018218 (3 May 2017); doi: 10.1117/12.2262884
Show Author Affiliations
Charles Ethan Hayes, Georgia Institute of Technology (United States)
James H. McClellan, Georgia Institute of Technology (United States)
Waymond R. Scott, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 10182:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII
Steven S. Bishop; Jason C. Isaacs, Editor(s)

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