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An expert system for geologic mapping with imaging spectrometersTechniques have been developed for the extraction and characterization of absorption features from visible and infrared reflectance spectra and an expert system has been designed, implemented, and successfully tested that allows automated identification of minerals based on their spectral characteristics. A suite of laboratory spectra of common minerals was analyzed and the absorption band characteristics tabulated and used to develop a generalized knowledge base for analysis of the reflectance spectra. A tree hierarchy was designed to emulate the decision process followed by an experienced analyst for analysis of laboratory and field reflectance spectra and aircraft imaging spectrometer spectra. Good results were obtained with the expert system for all three types of spectra, with the critical factor in the analysis being the signal-to-noise ratio of the spectral data.
Document ID
19910066600
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Kruse, F. A.
(Colorado Univ. Boulder, CO, United States)
Seznec, O.
(Colorado Univ. Boulder, CO, United States)
Krotkov, P. M.
(Cooperative Institute for Research in Environmental Sciences Boulder, CO, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1990
Subject Category
Cybernetics
Meeting Information
Meeting: Applications of Artificial Intelligence VIII
Location: Orlando, FL
Country: United States
Start Date: April 17, 1990
End Date: April 19, 1990
Sponsors: SPIE
Accession Number
91A51223
Funding Number(s)
CONTRACT_GRANT: NAGW-1601
CONTRACT_GRANT: NAGW-1143
Distribution Limits
Public
Copyright
Other

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