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Proceedings Paper

Neuroadaptive undistorted coherent image formation algorithm
Author(s): Mark V. Zolotarev; Aleksandr N. Safronov
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Paper Abstract

On the base of probability density function (PDF) a self-learning neural-network approach is synthesized for the restoration of arbitrary atmospherically distorted coherent images. Learning capabilities and potential accuracies of the synthesized algorithm are studied. Electro-optical implementation and results of numerical simulation of this approach are discussed.

Paper Details

Date Published: 3 September 1993
PDF: 9 pages
Proc. SPIE 1978, Coherent Measuring and Data Processing Methods and Devices, (3 September 1993); doi: 10.1117/12.155043
Show Author Affiliations
Mark V. Zolotarev, Institute for Problems in Mechanics (Russia)
Aleksandr N. Safronov, Computing Ctr./Russian Academy of Sciences (Russia)

Published in SPIE Proceedings Vol. 1978:
Coherent Measuring and Data Processing Methods and Devices
Valery I. Mandrosov, Editor(s)

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