Improvement of the model of object recognition in aero photographs using deep convolutional neural networks

Improvement of the model of object recognition in aero photographs using deep convolutional neural networks

Detection and recognition of objects in images is the main problem to be solved by computer vision systems. As part of solving this problem, the model of object recognition in aerial photographs taken from unmanned aerial vehicles has been improved. A study of object recognition in aerial photograph...

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Bibliographic Details
Main Authors: Vadym Slyusar, Mykhailo Protsenko, Anton Chernukha, Pavlo Kovalov, Pavlo Borodych, Serhii Shevchenko, Oleksandr Chernikov, Serhii Vazhynskyi, Oleg Bogatov, Kirill Khrustalev
Format: article
Language:EN
RU
UK
Published: PC Technology Center 2021
Subjects:
object recognition
deep convolutional neural network
aerial photograph
unmanned aerial vehicle
Technology (General)
T1-995
Industry
HD2321-4730.9
Online Access:https://doaj.org/article/6c4c7508553e4bbb984c5cc72423bf2b
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Internet

https://doaj.org/article/6c4c7508553e4bbb984c5cc72423bf2b

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