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Machine Learning Based Air Traffic Surveillance System Using Image Processing

Amazon

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£63.67 £63.66 £63.66 £63.66 £63.67 £63.67 £63.67 25 July 2026 09 August 2026 24 August 2026 08 September 2026 24 September 2026
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Description

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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
28 January 2026
Listed Since
25 August 2025

Barcode

No barcode data available

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