Spectral pattern recognition: the methodology

Khalid J. Siddiqui; DeLyle Eastwood; Yi-Hsin Liu

doi:10.1117/12.372889

16 December 1999 Spectral pattern recognition: the methodology

Khalid J. Siddiqui, DeLyle Eastwood, Yi-Hsin Liu

Proceedings Volume 3854, Pattern Recognition, Chemometrics, and Imaging for Optical Environmental Monitoring; (1999) https://doi.org/10.1117/12.372889
Event: Photonics East '99, 1999, Boston, MA, United States

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.

Citation Download Citation

Khalid J. Siddiqui, DeLyle Eastwood, and Yi-Hsin Liu "Spectral pattern recognition: the methodology", Proc. SPIE 3854, Pattern Recognition, Chemometrics, and Imaging for Optical Environmental Monitoring, (16 December 1999); https://doi.org/10.1117/12.372889

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