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Study of neural network models for multi-purpose airborne radio monitoring information systems including optical channels

##article.authors##

  • Vladimir Kuprits Tomsk State University of Control Systems and Radioelectronics
  • Yury Svetlichny
  • Vladislav Weber
  • Aleksander Tverdokhlebov

DOI:

https://doi.org/10.31224/4063

Keywords:

machine learning, neural network, Multipurpose airborne radio monitoring information systems

Abstract

The paper discusses the application of neural network models for object detection in multi-purpose airborne radio monitoring information systems that include optical channels. The results of evaluation of recognition accuracy and performance by metrics of accuracy, completeness and computational complexity are given.

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Posted

2024-11-01

License

Copyright (c) 2024 Vladimir Kuprits, Yury Svetlichny, Vladislav Weber, Aleksander Tverdokhlebov

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.