Please use this identifier to cite or link to this item: http://er.nau.edu.ua:8080/handle/NAU/32387
Title: System of Aided Classification of Ground Objects by Video Observation from Unmanned Aerial Vehicle
Authors: Mukhina, Maryna
Barkulova, Iryna
Keywords: feature vector; descriptive space; aided classification; Bayesian segmentation
Issue Date: Oct-2017
Publisher: Kyiv, “Osvita Ukrainy”
Series/Report no.: IEEE 4th International Conference “Actual Problems of Unmanned Aerial Vehicles Developments” (APUAVD);266-269
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.
URI: http://er.nau.edu.ua:8080/handle/NAU/32387
ISBN: 978-1-5386-1816-5
Appears in Collections:Матеріали наукових, науково-практичних конференцій кафедри АКІК

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