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Exploiting measurement subspaces for wideband electromagnetic induction processing
Author(s): Charles Ethan Hayes; Waymond R. Scott; James H. McClellan
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Paper Abstract

Recent work with Wideband Electromagnetic Induction (WEMI) sensors has shown that a low-rank model can be used to exploit the measurements. The low-rank model has led to a new filterless processing framework for frequency-domain WEMI sensors, where projection operators can be used in both the frequency and spatial dimensions of the data. Previous work has used a single subspace from the projected measurements to perform target detection, classification, and localization. This work investigates the eight remaining measurement subspaces created by the projection operators and how they can be exploited to extract more information for WEMI processing.

Paper Details

Date Published: 30 April 2018
PDF: 20 pages
Proc. SPIE 10628, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII, 106280M (30 April 2018); doi: 10.1117/12.2305169
Show Author Affiliations
Charles Ethan Hayes, 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. 10628:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII
Steven S. Bishop; Jason C. Isaacs, Editor(s)

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