Handbook of Multisensor Data Fusion (Electrical Engineering and...

Features

• Cover Type: Hard Cover with 568 pages
• Published by: CRC
• Edition: 1st Edition June 20, 2001
• Written in: English
• ISBN 10 Number: 0849323797
• ISBN 13 Number: 978-0849323799
• Book Dimensions: 10.1 x 6.6 x 1.4 inches
• Weighs: 2.5 pounds

Book Description
The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid evolution of computers and the maturation of data fusion technology, the door to using data fusion in everyday applications is now wide open and presenting great opportunities. The Handbook of Multisensor Data Fusion provides a unique, comprehensive, and up-to-date resource for data fusion systems designers and researchers. Divided into five parts, it: · offers a thorough introduction to data fusion terminology and models · describes advanced techniques for data association, target tracking, and identification · presents practical information on system development, including requirements analysis, systems engineering, algorithm selection, database design, human-computer interfaces, and performance assessment · introduces applications from the DoD, NASA, DARPA, and condition-based monitoring of complex machinery · supplies data fusion resources and Web sites The contributing authors are all recognized leaders in data fusion and have collaborated to provide what promises to be the definitive reference for this rapidly developing field. Whether you are a researcher, system designer, implementer, or student, in the Handbook of Multisensor Data Fusion you'll find everything you need, from a basic introduction and survey of data fusion technology to advanced mathematics and theory, including very practical advice on data fusion system development and implementation.

Book Info
A complete reference on data fusion system development and implementation. Features a thorough introduction to terminology and models, as well as coverage of advanced techniques for data association, target tracking, and identification. DLC: Multisensor data fusion--Handbooks, manuals, etc.

Reader Reviews
Related quotes from Bass, T., Intrusion Detection Systems & Multisensor Data Fusion, Communications of the ACM, pp. 99-105, Vol. 43, No. 4, April 2000: Multisensor data fusion or distributed sensing, is a relatively new engineering discipline used to combine data from multiple and diverse sensors and sources in order to make inferences about events, activities, and situations. These systems are often compared to the human cognitive process where the brain fuses sensory information from the various sensory organs, evaluates situations, makes decisions, and directs action. Data fusion technology has been applied most prominently to military applications such as battlefield surveillance and tactical situation assessment. Data fusion has also emerged in commercial applications such as robotics, manufacturing, medical diagnosis, and remote sensing. The application of data fusion in technical systems requires mathematical and heuristic techniques from fields such as statistics, artificial intelligence, operations research, digital signal processing, pattern recognition, cognitive psychology, information theory and decision theory. In a typical military command and control (C2) system, data fusion sensors are used to observe electromagnetic radiation, acoustic and thermal energy, nuclear particles, infrared radiation, noise and other signals. Multisensor data fusion provides an important functional framework for building next generation information fusion and cyberspace situational awareness systems. There exist significant opportunities and numerous technical challenges for the commercial application of data fusion theory into the art and science of modern decision support systems. This handbook provides the absolute best possible overview of the art and science of multisensor data fusion technology. Congratulations to David Hall and James Llinas for great editorial work on this handbook. I strongly recommend this book to anyone working in this wonderful and rapidly evolving field. Comment | | (Report this)