Genetic algorithms for unconventional imaging

Philip D. Henshaw; Norman R. Guivens Jr.

doi:10.1117/12.179745

8 July 1994 Genetic algorithms for unconventional imaging

Philip D. Henshaw, Norman R. Guivens Jr.

Proceedings Volume 2241, Inverse Optics III; (1994) https://doi.org/10.1117/12.179745
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

Citation Download Citation

Philip D. Henshaw and Norman R. Guivens Jr. "Genetic algorithms for unconventional imaging", Proc. SPIE 2241, Inverse Optics III, (8 July 1994); https://doi.org/10.1117/12.179745

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