Infrared Ship Classification Using A New Moment Pattern Recognition Concept

David Casasent; John Pauly; Donald Fetterly

doi:10.1117/12.932640

8 March 1982 Infrared Ship Classification Using A New Moment Pattern Recognition Concept

David Casasent, John Pauly, Donald Fetterly

Proceedings Volume 0302, Infrared Technology for Target Detection and Classification; (1982) https://doi.org/10.1117/12.932640
Event: 25th Annual Technical Symposium, 1981, San Diego, United States

Abstract

An analysis of the statistics of the moments and the conventional invariant moments shows that the variance of the latter become quite large as the order of the moments and the degree of invariance increases. Moreso, the need to whiten the error volume increases with the order and degree, but so does the computational load associated with computing the whitening operator. We thus advance a new estimation approach to the use of moments in pattern recog-nition that overcomes these problems. This work is supported by experimental verification and demonstration on an infrared ship pattern recognition problem. The computational load associated with our new algorithm is also shown to be very low.

Citation Download Citation

David Casasent, John Pauly, and Donald Fetterly "Infrared Ship Classification Using A New Moment Pattern Recognition Concept", Proc. SPIE 0302, Infrared Technology for Target Detection and Classification, (8 March 1982); https://doi.org/10.1117/12.932640

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