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dc.contributor.authorSavanevych, V.E.-
dc.contributor.authorSokovikova, N.S.-
dc.contributor.authorBezkrovniy, M.M.-
dc.contributor.authorPogorelov, A.V.-
dc.contributor.authorKhlamov, S.V.-
dc.date.accessioned2015-10-06T06:24:43Z-
dc.date.available2015-10-06T06:24:43Z-
dc.date.issued2015-
dc.identifier.citationSokovikova N. S. The estimation of the object position on the digital CCD frame using the pixel model of the object image [Текст] / N. S. Sokovikova, V. E. Savanevych, M. M. Bezkrovniy, A. V. Pogorelov, S. V. Khlamov// Scholars Journal of Engineering and Technology. – 2015. – T. 3(2а). – С. 153-16uk
dc.identifier.issn2347-9523-
dc.identifier.issn2321-435X-
dc.identifier.urihttps://dspace.uzhnu.edu.ua/jspui/handle/lib/4261-
dc.description.abstractThe estimation methods of the objects image on a digital CCD frame have been developed. On the capacity of the form model the pixel Gaussian model has been offered. The pixel Gaussian model is considered on two types of objects: objects of compact groups and objects with the images blurred by a proper motion. The methods are based on the object position estimation by a criterion of the minimum residual squares between experimental and model images. The minimization of the sum of the residual squares is carried out using the Levenberg-Marquardt algorithm.uk
dc.language.isoenuk
dc.publisherScholars Journal of Engineering and Technology (SJET)uk
dc.subjectClose objectsuk
dc.subjectobjects of the compact groupuk
dc.subjectstatistically dependent imagesuk
dc.subjecttrailed objectsuk
dc.subjectobject imagesuk
dc.subjectblurred by a proper motionuk
dc.subjectimage parameter estimationuk
dc.subjectasteroidsuk
dc.subjectCCD frameuk
dc.titleThe estimation of the object position on the digital CCD frame using the pixel model of the object imageuk
dc.typeTextuk
dc.pubTypeСтаттяuk
Appears in Collections:Наукові публікації кафедри інформаційних управляючих систем та технологій



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