Handbook of Multisensor Data Fusion Theory and Practice, Second Edition

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.

Multisensor Data Fusion D. L. Hall and J. Llinas Data Fusion Perspectives and Its Role in Information Processing O. Kessler and F. White Revisions to the JDL Data Fusion Model A. N. Steinberg and C. L. Bowman Introduction to the Algorithms of Data Association in Multiple-Target Tracking J. K. Uhlmann The Principles and Practice of Image and Spatial Data Fusion E. Waltz and T. Waltz Data Registration R. R. Brooks and L. Grewe Data Fusion Automation: A Top-Down Perspective R. Antony Overview of Distributed Decision Fusion M. E. Liggins Introduction to Particle Filtering: The Next Stage in Tracking M. E. Liggins and K-C. Chang Target Tracking Using Probabilistic Data Association-Based Techniques with Applications to Sonar, Radar, and EO Sensors T. Kirubarajan and Y. Bar-Shalom An Introduction to the Combinatorics of Optimal and Approximate Data Association J. K. Uhlmann A Bayesian Approach to Multiple-Target Tracking L. D. Stone Data Association Using Multiple-Frame Assignments A. B. Poore, S. Lu, and B. J. Suchomel General Decentralized Data Fusion with Covariance Intersection S. Julier and J. K. Uhlmann Data Fusion in Nonlinear Systems S. Julier and J. K. Uhlmann Random Set Theory for Multisource-Multitarget Information Fusion R. Mahler Distributed Fusion Architectures, Algorithms, and Performance within a Network-Centric Architecture M. E. Liggins and K-C. Chang Foundations of Situation and Threat Assessment A. N. Steinberg An Introduction to Level 5 Fusion: The Role of the User E. Blasch Perspectives on the Human Side of Data Fusion: Prospects for Improved Effectiveness using Advanced Human-Computer Interfaces D. L. Hall, C. M. Hall, and S. A. H. McMullen Requirements Derivation for Data Fusion Systems E. Waltz and D. L. Hall A Systems Engineering Approach for Implementing Data Fusion Systems C. L. Bowman and A. N. Steinberg Studies and Analyses within Project Correlation: An In-Depth Assessment of Correlation Problems and Solution Techniques J. Llinas, Capt. L. McConnell, C. L. Bowman, D. L. Hall, and P. Applegate Data Management Support to Tactical Data Fusion R. Antony Assessing the Performance of Multisensor Fusion Processes J. Llinas A Survey of COTS Software for Multisensor Data Fusion S. A. Hall McMullen, R. R. Sherry, and S. Miglani A Survey of Multisensor Data Fusion Systems M. L. Nichols Data Fusion for Developing Predictive Diagnostics for Electromechanical Systems C. S. Byington and A. K. Garga Adapting Data Fusion to Chemical and Biological Sensors D. C. Swanson Fusion of Ground and Satellite Data via the Army Battle Command System S. Aungst, M. Campbell, J. Kuhns, D. Beyerle, T. Bacastow, and J. Knox Developing Information Fusion Methods for Combat Identification T. M. Schuck, J. Bockett Hunter, and D. D. Wilson