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Proceedings Paper

Performance characterization of material identification systems
Author(s): Christopher D. Brown; Robert L. Green
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Paper Abstract

In recent years a number of analytical devices have been proposed and marketed specifically to enable field-based material identification. Technologies reliant on mass, near- and mid-infrared, and Raman spectroscopies are available today, and other platforms are imminent. These systems tend to perform material recognition based on an on-board library of material signatures. While figures of merit for traditional quantitative analytical sensors are broadly established (e.g., SNR, selectivity, sensitivity, limit of detection/decision), measures of performance for material identification systems have not been systematically discussed. In this paper we present an approach to performance characterization similar in spirit to ROC curves, but including elements of precision-recall curves and specialized for the intended-use of material identification systems. Important experimental considerations are discussed, including study design, sources of bias, uncertainty estimation, and cross-validation and the approach as a whole is illustrated using a commercially available handheld Raman material identification system.

Paper Details

Date Published: 25 October 2006
PDF: 11 pages
Proc. SPIE 6378, Chemical and Biological Sensors for Industrial and Environmental Monitoring II, 637809 (25 October 2006); doi: 10.1117/12.686103
Show Author Affiliations
Christopher D. Brown, Ahura Corp. (United States)
Robert L. Green, Ahura Corp. (United States)


Published in SPIE Proceedings Vol. 6378:
Chemical and Biological Sensors for Industrial and Environmental Monitoring II
Steven D. Christesen; Arthur J. Sedlacek; James B. Gillespie; Kenneth J. Ewing, Editor(s)

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