Data Fusion Mathematics : Theory and Practice (Hardcover, 2 ed)

1. Introduction to Data Fusion Process 2. Statistics, Probability Models and Reliability?Towards Probabilistic Data Fusion 3. Fuzzy Logic and Possibility Theory based Fusion 4. Filtering, Target-Tracking and Kinematic Data Fusion 5. Decentralized Data Fusion Systems 6. Component Analysis and Data Fusion 7. Image Algebra and Image Fusion 8. Decision Theory and fusion 9. Wireless sensor networks and multimodal data fusion 10. Soft computing approaches to data fusion Machine Learning in Data Fusion 11. Machine Learning in Data Fusion?12. Target Localisation using Network of 2D Ground Radars 13. Multi-Target Angle Only Tracking using Thermal Imaging Sensors 14. Multi Sensor Data Fusion for Single Platform and Team of Platforms