A Knowledge-Based Approach To Ship Identification

R. W. McLaren; H .-Y . Lin

doi:10.1117/12.964138

26 March 1986 A Knowledge-Based Approach To Ship Identification

R. W. McLaren, H .-Y . Lin

Proceedings Volume 0635, Applications of Artificial Intelligence III; (1986) https://doi.org/10.1117/12.964138
Event: 1986 Technical Symposium Southeast, 1986, Orlando, United States

Abstract

A knowledge-based ("expert") classifier was designed for classifying ship silhouettes generated from forward-looking infrared (FLIR) imagery. A knowledge-base is constructed based on interviews with a U.S. Navy officer along with confirming evidence from Jayne's Fighting Ships. This knowledge provides the means to set-up a ruled-based sequential decision tree or net. The conditions of the production rules deal with silhouette "humps" and their properties such as the number, spacing, relative placement on deck line, and the like. This classifier was applied to a sample consisting of about 500 sample silhouettes distributed about uniformly over eight classes of ship targets. Results were equal or better than results using a more "conventional" classifier.

Citation Download Citation

R. W. McLaren and H .-Y . Lin "A Knowledge-Based Approach To Ship Identification", Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); https://doi.org/10.1117/12.964138

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