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Proceedings Paper

Imaging with phase diversity: simulations with a neural network
Author(s): Nancy A. Miller; Alice V. Ling
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Paper Abstract

The technique of phase diversity was proposed for estimating telescope aberrations for an unknown extended object. The original version of phase diversity requires extensive processing due to a nonlinear optimization algorithm which is prohibitive in a real-time system. Therefore, neural networks were explored as an alternative solution of the problem and this paper shows the modification of the traditional phase diversity method to employ neural networks to estimate aberrations of point source and extended scene data. Simulations indicated aberrations could be estimated to an average error of 0.02 waves rms.

Paper Details

Date Published: 1 April 1993
PDF: 8 pages
Proc. SPIE 1982, Photoelectronic Detection and Imaging: Technology and Applications '93, (1 April 1993); doi: 10.1117/12.142052
Show Author Affiliations
Nancy A. Miller, Air Force Phillips Lab. (United States)
Alice V. Ling, BDM International, Inc. (United States)

Published in SPIE Proceedings Vol. 1982:
Photoelectronic Detection and Imaging: Technology and Applications '93

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