Using genetic algorithms to search for optimal projections

Bradley C. Wallet; David J. Marchette; Jeffrey L. Solka

doi:10.1117/12.277123

23 June 1997 Using genetic algorithms to search for optimal projections

Bradley C. Wallet, David J. Marchette, Jeffrey L. Solka

Proceedings Volume 3069, Automatic Target Recognition VII; (1997) https://doi.org/10.1117/12.277123
Event: AeroSense '97, 1997, Orlando, FL, United States

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.

Citation Download Citation

Bradley C. Wallet, David J. Marchette, and Jeffrey L. Solka "Using genetic algorithms to search for optimal projections", Proc. SPIE 3069, Automatic Target Recognition VII, (23 June 1997); https://doi.org/10.1117/12.277123

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