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Proceedings Paper

Graphically Interactive, Knowledge Assisted Pattern Classification
Author(s): K.F. Kraiss; H. Kuettelwesch
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Paper Abstract

This paper describes an interactive approach to sensor data classification utilizing interactive graphics and artificial intelligence techniques. In this concept prominent features are extracted by a human observer. Subsequently a computer performs knowledge based feature interpretation and hypothesis generation. Final verification and classification remains with the observer.

Paper Details

Date Published: 11 May 1987
PDF: 6 pages
Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); doi: 10.1117/12.940673
Show Author Affiliations
K.F. Kraiss, Forschungsinstitut fur Anthropotechnik (FAT) (F.R.of Germany)
H. Kuettelwesch, Forschungsinstitut fur Anthropotechnik (FAT) (F.R.of Germany)


Published in SPIE Proceedings Vol. 0786:
Applications of Artificial Intelligence V
John F. Gilmore, Editor(s)

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