Computer Science – Artificial Intelligence
Scientific paper
Jan 1986
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1986spie..627...89b&link_type=abstract
IN: Instrumentation in astronomy VI; Proceedings of the Meeting, Tucson, AZ, Mar. 4-8, 1986. Part 1 (A87-36376 15-35). Bellingha
Computer Science
Artificial Intelligence
Artificial Intelligence, Data Correlation, Data Processing, Pattern Recognition, Classifying, Data Reduction, Prototypes, Telescopes
Scientific paper
Current and future ground- and space-based telescopes are capable of producing immense volumes of data which, to make the telescope truly productive, must be analyzed in reasonable periods of time after acquisition. Classical methods of computerized data analysis tend to become more specific as the data volume increases, thereby not fully utilizing the information content of the data. To reverse this trend, the authors investigate artificial intelligence-based analysis systems to act either as the principal analysis tool for a data set, or to act as a co-processor to a classical statistical analysis system. They have designed, and are in the process of implementing, an image processing system based on concepts of artificial intelligence. The input images are produced by the CCD Transit Instrument (CTI).
Bernat Andrew P.
McGraw John T.
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