Jay Kumar Pandey Machine Learning Based Air Traffic Surveillance System Using Image Processing (Hardback)

Machine Learning Based Air Traffic Surveillance System Using Image ProcessingJay Kumar PandeyLabel: Emerald Publishing LimitedDescription: 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.

The "Jay Kumar Pandey Machine Learning Based Air Traffic Surveillance System Using Image Processing (Hardback)" is ideal for professionals who require a comprehensive understanding of advanced image processing techniques and machine learning algorithms in the context of air traffic surveillance systems.