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Proceedings Paper

Using genetic algorithms to search for optimal projections
Author(s): Bradley C. Wallet; David J. Marchette; Jeffrey L. Solka
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Paper Abstract

Difficulties in performing density estimation in high dimensional space require dimensionality reduction in many automatic target recognition applications. This paper presents a method using a genetic algorithm to determine projections which are near optimal according to an arbitrary criteria function. An example is presented which optimizes a discriminant criteria in the use of a quadratic classifier to detect regions of interest for locating SCUD missiles in an unmanned aerial vehicle (UAV) imagery.

Paper Details

Date Published: 23 June 1997
PDF: 7 pages
Proc. SPIE 3069, Automatic Target Recognition VII, (23 June 1997); doi: 10.1117/12.277123
Show Author Affiliations
Bradley C. Wallet, Naval Surface Warfare Ctr. and George Mason Univ. (United States)
David J. Marchette, Naval Surface Warfare Ctr. (United States)
Jeffrey L. Solka, Naval Surface Warfare Ctr. and George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 3069:
Automatic Target Recognition VII
Firooz A. Sadjadi, Editor(s)

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