System of Aided Classification of Ground Objects by Video Observation from Unmanned Aerial Vehicle

Please use this identifier to cite or link to this item: https://er.nau.edu.ua/handle/NAU/36122

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DC Field	Value	Language
dc.contributor.author	Mukhina, Maryna	-
dc.contributor.author	Barkulova, Iryna	-
dc.date.accessioned	2018-09-20T06:39:39Z	-
dc.date.available	2018-09-20T06:39:39Z	-
dc.date.issued	2017-10	-
dc.identifier.isbn	978-1-5386-1816-5	-
dc.identifier.other	IEEE Catalog Number: CFP1729V-PRT	-
dc.identifier.uri	http://er.nau.edu.ua/handle/NAU/36122	-
dc.description.abstract	Analysis of classification system by video observation has been done. The system with aided classification based on probabilistic models is proposed. Feature vector contains the most informative components and allows the minimization of decision risks. Results have proven the reliability of classification during a number of video frames in the condition of non-full data descriptive space.	uk_UA
dc.publisher	Kyiv, “Osvita Ukrainy”	uk_UA
dc.relation.ispartofseries	IEEE 4th International Conference;October 17-19, 2017, Kyiv, Ukraine	-
dc.relation.ispartofseries	“Actual Problems of Unmanned Aerial Vehicles Developments” (APUAVD);266-269	-
dc.subject	Feature vector	uk_UA
dc.subject	descriptive space	uk_UA
dc.subject	aided classification	uk_UA
dc.subject	Bayesian segmentation	uk_UA
dc.title	System of Aided Classification of Ground Objects by Video Observation from Unmanned Aerial Vehicle	uk_UA
dc.type	Technical Report	uk_UA
Appears in Collections:	Матеріали наукових, науково-практичних конференцій кафедри авіаційних комп'ютерно-інтегрованих комплексів

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