Construction of an advanced method for recognizing monitored objects by a convolutional neural network using a discrete wavelet transform

Construction of an advanced method for recognizing monitored objects by a convolutional neural network using a discrete wavelet transform

The tasks that unmanned aircraft systems solve include the detection of objects and determining their state. This paper reports an analysis of image recognition methods in order to automate the specified process. Based on the analysis, an improved method for recognizing images of monitored objects b...

Full description

Bibliographic Details
Main Authors: Vadym Slyusar, Mykhailo Protsenko, Anton Chernukha, Stella Gornostal, Sergey Rudakov, Serhii Shevchenko, Oleksandr Chernikov, Nadiia Kolpachenko, Volodymyr Timofeyev, Roman Artiukh
Format: Article
Language:English
Published: PC Technology Center 2021-08-01
Series:Eastern-European Journal of Enterprise Technologies
Subjects:
neural network
discrete wavelet transform
monitored objects
unmanned aircraft system
Online Access:http://journals.uran.ua/eejet/article/view/238601

Internet

http://journals.uran.ua/eejet/article/view/238601

Similar Items