You might also like

More about Machine Learning Based Air Traffic Surveillance System Using Image Processing

• Book details
• Synopsis
• Trending among others

You get 280 loyalty points

Book synopsis

Machine Learning Based Air Traffic Surveillance System Using Image Processing analyses how advanced machine learning algorithms and image processing technologies are revolutionising air-traffic management. By integrating real-time visual data analysis with sophisticated artificial intelligence techniques, this book highlights the potential to enhance situational awareness, safety, and efficiency in managing increasingly complex and congested airspaces. It delves into the use of convolutional neural networks (CNNs) and deep learning models to identify, track, and analyse aircraft movements, offering precise and actionable insights for air-traffic controllers.

This comprehensive resource combines theoretical foundations with practical applications, including real-world case studies and discussions on system implementation. It addresses critical aspects such as object detection, anomaly identification, and trajectory prediction, alongside regulatory, ethical, and cybersecurity considerations. With its blend of cutting-edge research and practical insights, this book is an invaluable guide for professionals, researchers, and students in aerospace engineering, artificial intelligence, and computer vision, providing a roadmap for advancing air-traffic surveillance and management in the era of intelligent systems.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Technik Chemische Technik

• Full title: Machine Learning Based Air Traffic Surveillance System Using Image Processing
• Author: Mritunjay Rai, Faizan Ahmad
• Language: English
• Binding: Hardback
• Number of pages: 344
• EAN: 9781805920632
• ISBN: 1805920634
• ID: 49597232
• Publisher: Emerald Publishing Limited
• Weight: 593 g
• Date of publishing: 28. January 2026

Trending among others

---

---

---