Neuroadaptive coherent imaging

Mark V. Zolotarev; Aleksandr N. Safronov

doi:10.1117/12.147844

12 July 1993 Neuroadaptive coherent imaging

Mark V. Zolotarev, Aleksandr N. Safronov

Proceedings Volume 1806, Optical Computing; (1993) https://doi.org/10.1117/12.147844
Event: Topical Meeting on Optical Computing, 1992, Minsk, Belarus

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.

Citation Download Citation

Mark V. Zolotarev and Aleksandr N. Safronov "Neuroadaptive coherent imaging", Proc. SPIE 1806, Optical Computing, (12 July 1993); https://doi.org/10.1117/12.147844

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available