Information-extreme machine training of on-board recognition system with optimization of RGB-component digital images

Information-extreme machine training of on-board recognition system with optimization of RGB-component digital images

The research increases the recognition reliability of ground natural and infrastructural objects by use of an autonomous onboard unmanned aerial vehicle (UAV). An information-extreme machine learning method of an autonomous onboard recognition system with the optimization of RGB components of a digi...

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Bibliographic Details
Main Authors: Igor Naumenko, Mykyta Myronenko, Taras Savchenko
Format: Article
Language:English
Published: National Aerospace University «Kharkiv Aviation Institute» 2021-11-01
Series:Радіоелектронні і комп'ютерні системи
Subjects:
information-extreme machine learning
information criterion
optimization
on-board recognition system
unmanned aerial vehicle
ground object image
Online Access:http://nti.khai.edu/ojs/index.php/reks/article/view/1573

Internet

http://nti.khai.edu/ojs/index.php/reks/article/view/1573

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