1 January 1990 Expert system to aid in UV lidar fluorescence interpretation
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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.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Young P. Yee, Young P. Yee, Raul Gonzalez, Raul Gonzalez, Radon B. Loveland, Radon B. Loveland, } "Expert system to aid in UV lidar fluorescence interpretation", Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); doi: 10.1117/12.21144; https://doi.org/10.1117/12.21144
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