Dynamically Optimized Object Detection Algorithms for Aviation Safety

Infrared imaging technology demonstrates significant advantages in aviation safety monitoring due to its exceptional all-weather operational capability and anti-interference characteristics, particularly in scenarios requiring real-time detection of aerial objects such as airport airspace management...

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Veröffentlicht in:	Electronics (Basel) Jg. 14; H. 17; S. 3536
Hauptverfasser:	Qu, Yi, Wang, Cheng, Xiao, Yilei, Ju, Haijuan, Wu, Jing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 04.09.2025
Schlagworte:	Accuracy Aeronautics Air safety Aircraft accidents & safety Algorithms Aviation Background noise Clutter Computer vision Convolution Decoupling Deep learning Design Efficiency False alarms Imaging systems Infrared imaging Infrared tracking Learning strategies Midair collisions Monitoring Neural networks Object recognition Optimization Parameters Pyramids Radiation Real time Safety and security measures Signal to noise ratio Spatial resolution Surveillance Target detection
ISSN:	2079-9292, 2079-9292
Online-Zugang:	Volltext
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