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Proceedings Paper

Genetic algorithms for unconventional imaging
Author(s): Philip D. Henshaw; Norman R. Guivens
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Paper Abstract

Unconventional imaging techniques obtain high resolution images of objects at very long ranges without the use of large diameter primary optical elements. Cost and weight constraints lead us to consider methods for using sparse arrays of subapertures. In this paper, we present a genetic algorithm method for designing sparse arrays of subapertures for an unconventional imaging technique known as correlography. We have compared the solutions found using genetic algorithms to other techniques for generating arrays with filled autocorrelations. The results of this comparison are presented in this paper.

Paper Details

Date Published: 8 July 1994
PDF: 9 pages
Proc. SPIE 2241, Inverse Optics III, (8 July 1994); doi: 10.1117/12.179745
Show Author Affiliations
Philip D. Henshaw, SPARTA, Inc. (United States)
Norman R. Guivens, SPARTA, Inc. (United States)


Published in SPIE Proceedings Vol. 2241:
Inverse Optics III
Michael A. Fiddy, Editor(s)

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