Sensor and Data Fusion: A Tool for Information Assessment and Decision Making

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SPIE, 2012 - Science - 473 pages
This book illustrates the benefits of sensor fusion by considering the characteristics of infrared, microwave, and millimeter-wave sensors, including the influence of the atmosphere on their performance. Topics include applications of multiple-sensor systems; target, background, and atmospheric signature-generation phenomena and modelling; and methods of combining multiple-sensor data in target identity and tracking data fusion architectures. Weather forecasting, Earth resource surveys that use remote sensing, vehicular traffic management, target classification and tracking, military and homeland defence, and battlefield assessment are some of the applications that benefit from the discussions of signature-generation phenomena, sensor fusion architectures, and data fusion algorithms provided in this text.

The information in this edition has been substantially expanded and updated to incorporate recent approaches to sensor and data fusion, as well as application examples. A new chapter about data fusion issues associated with multiple-radar tracking systems has also been added.

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About the author (2012)

Lawrence A. Klein, Ph.D. received his B.E.E. from the City College of New York, his M.S. in Electrical Engineering from the University of Rochester (NY), and his Ph.D. in Electrical Engineering from New York University. Dr. Klein is currently a private consultant and was commended by the U.S. Federal Highway Administration for his performance while with the Hughes Aircraft Company as principal investigator on the Detection Technology for Intelligent Vehicle Highway Systems program. He is a member of the Freeway Operations Committee of TRB, member of ASTM E17 Group V ITS, senior member of the IEEE, was co-chair of the SPIE Collision Avoidance and Automated Traffic Management Sensors Conference, and has published 3 other books and over 50 technical papers.

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