Proceedings Paper
Neuroadaptive coherent imaging| Format | Member Price | Non-Member Price |
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| $17.00 | $21.00 |
Paper Abstract
On the base of probability density functional (PDF) approach a self-learning neural-network is synthesized for the restoration of an arbitrary atmospherically distorted coherent images. Learning capabilities and potential accuracies of the synthesized algorithm are studied. Results of numerical simulation of the method are discussed.
Paper Details
Date Published: 12 July 1993
PDF: 7 pages
Proc. SPIE 1806, Optical Computing, (12 July 1993); doi: 10.1117/12.147844
Published in SPIE Proceedings Vol. 1806:
Optical Computing
Andrey M. Goncharenko; Fedor V. Karpushko; George V. Sinitsyn; Sergey P. Apanasevich, Editor(s)
PDF: 7 pages
Proc. SPIE 1806, Optical Computing, (12 July 1993); doi: 10.1117/12.147844
Show Author Affiliations
Mark V. Zolotarev, Institute for Problems in Mechanics (Russia)
Aleksandr N. Safronov, Computing Ctr. (Russia)
Published in SPIE Proceedings Vol. 1806:
Optical Computing
Andrey M. Goncharenko; Fedor V. Karpushko; George V. Sinitsyn; Sergey P. Apanasevich, Editor(s)
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