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...
Main Authors: | Igor Naumenko, Mykyta Myronenko, Taras Savchenko |
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Format: | Article |
Language: | English |
Published: |
National Aerospace University «Kharkiv Aviation Institute»
2021-11-01
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Series: | Радіоелектронні і комп'ютерні системи |
Subjects: | |
Online Access: | http://nti.khai.edu/ojs/index.php/reks/article/view/1573 |
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