Classifiability Of Infrared Target Signatures

A. B. Lucero; J. W. Bair; R. R. Ramroth; C. T. McAbee

doi:10.1117/12.951430

30 June 1989 Classifiability Of Infrared Target Signatures

A. B. Lucero, J. W. Bair, R. R. Ramroth, C. T. McAbee

Proceedings Volume 1050, Infrared Systems and Components III; (1989) https://doi.org/10.1117/12.951430
Event: OE/LASE '89, 1989, Los Angeles, CA, United States

Abstract

The issue of infrared target imagery classifiability is investigated. Features that provide class discrimination information are automatically discovered and used to construct n-ary decision tree classifiers. Independent test data are classified and resulting performance reported. The importance of a priori information available in a realistic military scenario is assessed. Other factors affecting performance are also assessed. Probability of correct classification for a four-class problem ranges between 0.33 and 1.00 for various subsets of a standardized data base.

Citation Download Citation

A. B. Lucero, J. W. Bair, R. R. Ramroth, and C. T. McAbee "Classifiability Of Infrared Target Signatures", Proc. SPIE 1050, Infrared Systems and Components III, (30 June 1989); https://doi.org/10.1117/12.951430

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