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 buildings.

Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition represents the most current concepts and theory as information fusion expands into the realm of network-centric architectures. It reflects new developments in distributed and detection fusion, situation and impact awareness in complex applications, and human cognitive concepts. With contributions from the world's leading fusion experts, this second edition expands to 31 chapters covering the fundamental theory and cutting-edge developments that are driving this field.

New to the Second Edition—

· Applications in electromagnetic systems and chemical and biological sensors

· Army command and combat identification techniques

· Techniques for automated reasoning

· Advances in Kalman filtering

· Fusion in a network centric environment

· Service-oriented architecture concepts

· Intelligent agents for improved decision making

· Commercial off-the-shelf (COTS) software tools

From basic information to state-of-the-art theories, this second edition continues to be a unique, comprehensive, and up-to-date resource for data fusion systems designers.

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Yes, you can access Handbook of Multisensor Data Fusion by Martin Liggins II, David Hall, James Llinas, Martin Liggins II,David Hall,James Llinas in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Technology & Engineering

Subtopic

Electrical Engineering & Telecommunications

Index

Technology & Engineering

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 Tracking
Chapter 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 Fusion
Chapter 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 System
Chapter 31. Developing Information Fusion Methods for Combat Identification*
Index
Back cover

About this book

Frequently asked questions

Information

Table of contents