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.# Shows how to perform tradeoffs, select algorithms, and design data fusion systems in a variety of settings. # Presents practical information on system development, including requirements analysis, systems engineering, algorithm selection, database design, and human-computer interfaces # Pushes the state-of-the-art concepts of fusion to situational behavior modeling, cognitive methods for human-machine interaction, and new sensing and observational systems # Introduces applications from the DoD, NASA, DARPA, and condition-based monitoring of complex system