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A comparison of adaptive and template matching techniques for radio-isotope identification
Author(s): Emma J. Hague; Mark Kamuda; William P. Ford; Eric T. Moore; Johanna Turk
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Paper Abstract

We compare and contrast the effectiveness of a set of adaptive and non-adaptive algorithms for isotope identification based on gamma-ray spectra. One dimensional energy spectra are simulated for a variety of dwell-times and source to detector distances in order to reflect conditions typically encountered in radiological emergency response and environmental monitoring applications. We find that adaptive methods are more accurate and computationally efficient than non-adaptive in cases of operational interest.

Paper Details

Date Published: 14 May 2019
PDF: 12 pages
Proc. SPIE 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, 1098608 (14 May 2019); doi: 10.1117/12.2519062
Show Author Affiliations
Emma J. Hague, Remote Sensing Lab. (United States)
Mark Kamuda, Univ. of Illinois, Champagne-Urbana (United States)
William P. Ford, Remote Sensing Lab. (United States)
Eric T. Moore, Remote Sensing Lab. (United States)
Johanna Turk, Barnstorm Research Corp. (United States)


Published in SPIE Proceedings Vol. 10986:
Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV
Miguel Velez-Reyes; David W. Messinger, Editor(s)

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