Optical system recognition via topological methods

Kurskoy, Yu. S.; Hnatenko, O. S.; Machekhin, Yu. P.; Neofitnyi, M. V.; Zarytskyi, V. I.

Публікація:
Optical system recognition via topological methods

dc.contributor.author	Kurskoy, Yu. S.
dc.contributor.author	Hnatenko, O. S.
dc.contributor.author	Machekhin, Yu. P.
dc.contributor.author	Neofitnyi, M. V.
dc.contributor.author	Zarytskyi, V. I.
dc.date.accessioned	2021-04-17T10:14:47Z
dc.date.available	2021-04-17T10:14:47Z
dc.date.issued	2020
dc.description.abstract	The aim of the paper is to create a topological model for the detection and recognition of hidden optical surveillance systems. The model is based on fractal insights about the structure of the optical signal and determination of the fractal dimension intensity distribution in a cross-sectional plane of the laser pulse reflected from the target. It is shown that the approximation of the fractal dimension value to unity is a prerequisite to the target classification as an optical surveillance device. In order to classify the type of an optical device along with the fractal dimension the group of the fractal characteristics, consisting of the type of fractal signatures, the type of spatial spectrum and the values of spatial frequency that characterize the signal structure must be developed.	uk_UA
dc.identifier.citation	Optical system recognition via topological methods / Yu. S. Kurskoy, O. S. Hnatenko, Yu. P. Machekhin, M. V. Neofinyy, V. I. Zarytskyi // Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2020, 14 octovber 2020 - Poland, 2020 - P.115810M.	uk_UA
dc.identifier.uri	https://openarchive.nure.ua/handle/document/15554
dc.language.iso	en	uk_UA
dc.publisher	SPIE	uk_UA
dc.subject	laser	uk_UA
dc.subject	optical device	uk_UA
dc.subject	fractal signatures	uk_UA
dc.subject	spectrum	uk_UA
dc.title	Optical system recognition via topological methods	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication