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Proceedings Paper

Spectral pattern recognition: the methodology
Author(s): Khalid J. Siddiqui; DeLyle Eastwood; Yi-Hsin Liu
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Paper Abstract

Spectral pattern recognition (SPR) methods are among the most powerful tools currently available for noninvasively examining the spectroscopic and other chemical data for environmental monitoring. Using spectral data, these systems have found a variety of applications in chemometric systems such as gas chromatography, fluorescence spectroscopy, etc. An advantage of SPR approaches is that they made no a priori assumption regarding the structure of the spectra. However, a majority of these systems rely on human judgement for parameter selection and classification.

Paper Details

Date Published: 16 December 1999
PDF: 14 pages
Proc. SPIE 3854, Pattern Recognition, Chemometrics, and Imaging for Optical Environmental Monitoring, (16 December 1999); doi: 10.1117/12.372889
Show Author Affiliations
Khalid J. Siddiqui, SUNY/Fredonia (United States)
DeLyle Eastwood, Air Force Institute of Technology (United States)
Yi-Hsin Liu, Univ. of Nebraska/Omaha (United States)

Published in SPIE Proceedings Vol. 3854:
Pattern Recognition, Chemometrics, and Imaging for Optical Environmental Monitoring
Khalid J. Siddiqui; DeLyle Eastwood, Editor(s)

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