2nd Edition

Handbook of Multisensor Data Fusion Theory and Practice, Second Edition

Edited By Martin Liggins II, David Hall, James Llinas Copyright 2009
    870 Pages 299 B/W Illustrations
    by CRC Press

    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.
    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
    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


    Liggins II, Martin; Hall, David; Llinas, James