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Proceedings Paper

Expert system to aid in UV lidar fluorescence interpretation
Author(s): Young P. Yee; Raul Gonzalez; Radon B. Loveland
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Paper Abstract

A prototype expert system program has been developed to assist in the identification of fluorescence materials from UV lidar returns. Features such as emission peak locations, peak broadness at half height, number of peaks, and decay lifetimes comprise the knowledge base for a particular category of substances. The expert system will ask the user for features from an unknown substance and then will compare these features with the knowledge base of known substances. Preliminary results show that the expert system is capable of discriminating single substances from a small data set of fluorescence substances with their associated features. To handle multicomponents, it is suggested that preprocessing of the data be performed in which only the peak locations of single substances and combinations of peak locations of multiple substances be searched.

Paper Details

Date Published: 1 January 1990
PDF: 9 pages
Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); doi: 10.1117/12.21144
Show Author Affiliations
Young P. Yee, U.S. Army Atmospheric Sciences Lab. (United States)
Raul Gonzalez, U.S. Army Atmospheric Sciences Lab. (United States)
Radon B. Loveland, New Mexico State Univ. (United States)

Published in SPIE Proceedings Vol. 1293:
Applications of Artificial Intelligence VIII
Mohan M. Trivedi, Editor(s)

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