Handbook of multisensor data fusion theory and practice
In the years since the bestselling first edition, fusion research and applications have adapted to service-oriented architectures and pushed the boundaries of situational modeling in human behavior, expanding into fields such as chemical and biological sensing, crisis management, and intelligent bui...
| Otros Autores: | , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press
2008.
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| Edición: | 2nd ed |
| Colección: | Electrical engineering and applied signal processing series.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627464706719 |
Tabla de Contenidos:
- Front cover; Contents; Preface; Acknowledgment; Editors; Contributors; Chapter 1. Multisensor Data Fusion; Chapter 2. Data Fusion Perspectives and Its Role in Information Processing; Chapter 3. Revisions to the JDL Data Fusion Model; Chapter 4. Introduction to the Algorithmics of Data Association in Multiple-Target Tracking; Chapter 5. Principles and Practice of Image and Spatial Data Fusion*; Chapter 6. Data Registration; Chapter 7. Data Fusion Automation: A Top-Down Perspective; Chapter 8. Overview of Distributed Decision Fusion
- Chapter 9. Introductio to Particle Filtering: The Next Stage in TrackingChapter 10. Target Tracking Using Probabilistic Data Association-Based Techniques with Applications to Sonar, Radar, and EO Sensors; Chapter 11. Introduction to the Combinatorics of Optimal and Approximate Data Association; Chapter 12. Bayesian Approach to Multiple-Target Tracking*; Chapter 13. Data Association Using Multiple-Frame Assignments; Chapter 14. General Decentralized Data Fusion with Covariance Intersection; Chapter 15. Data Fusion in Nonlinear Systems
- Chapter 16. Random Set Theory for Multisource-Multitarget Information FusionChapter 17. Distributed Fusion Architectures, Algorithms, and Performance within a Network-Centric Architecture; Chapter 18. Foundations of Situation and Threat Assessment; Chapter 19. Introduction to Level 5 Fusion: The Role of the User; Chapter 20. Perspectives on the Human Side of Data Fusion: Prospects for Improved Effectiveness Using Advanced Human-Computer Interfaces; Chapter 21. Requirements Derivation for Data Fusion Systems; Chapter 22. Systems Engineering Approach for Implementing Data Fusion Systems
- Chapter 23. Studies and Analyses within Project Correlation: An In-Depth Assessment of Correlation Problems and Solution Techniques*Chapter 24. Data Management Support to Tactical Data Fusion; Chapter 25. Assessing the Performance of Multisensor Fusion Processes; Chapter 26. Survey of COTS Software for Multisensor Data Fusion*; Chapter 27. Survey of Multisensor Data Fusion Systems; Chapter 28. Data Fusion for Developing Predictive Diagnostics for Electromechanical Systems; Chapter 29. Adapting Data Fusion to Chemical and Biological Sensors
- Chapter 30. Fusion of Ground and Satellite Data via Army Battle Command SystemChapter 31. Developing Information Fusion Methods for Combat Identification*; Index; Back cover
