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Proceedings Paper

Discriminative eigen targets for automatic target recognition
Author(s): Lipchen Alex Chan; Nasser M. Nasrabadi; Don Torrieri
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Paper Abstract

Three different linear transformations have been examined for their potential use as feature extractors for an automatic target recognition classifier. These transformations are based on a set of eigen targets, which are obtained through one of the following three methods: principal component analysis, the eigen separation transform, or the Fisher linear discriminant. From the sets of eigen targets obtained through each of the above methods, projection values of an input image are computed and fed to one or more multilayer perceptrons (MLPs) for training and testing purposes. With a fixed-structure MLP, each of the different eigen target sets are examined for their effects on the final recognition performance.

Paper Details

Date Published: 18 September 1998
PDF: 12 pages
Proc. SPIE 3371, Automatic Target Recognition VIII, (18 September 1998); doi: 10.1117/12.323853
Show Author Affiliations
Lipchen Alex Chan, Army Research Lab. (United States)
Nasser M. Nasrabadi, Army Research Lab. (United States)
Don Torrieri, Army Research Lab. (United States)

Published in SPIE Proceedings Vol. 3371:
Automatic Target Recognition VIII
Firooz A. Sadjadi, Editor(s)

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