Evasion Attacks on Deep Learning-Based Helicopter Recognition Systems

Identifying objects in surveillance and reconnaissance systems with the human eye can be challenging, underscoring the growing importance of employing deep learning models for the recognition of enemy weapon systems. These systems, leveraging deep neural networks known for their strong performance i...

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Veröffentlicht in:	Journal of sensors 2024-03, Vol.2024, p.1-9
Hauptverfasser:	Lee, Jun, Kim, Taewan, Bang, Seungho, Oh, Sehong, Kwon, Hyun
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Attack helicopters Classification Deep learning Image classification Machine learning Military helicopters Neural networks Reconnaissance Success Surveillance Weapon systems
Online-Zugang:	Volltext
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