Multisensor Data Fusion, 2 Volume Set (Electrical Engineering & Applied Signal Processing) (Hardcover)

~ David L. Hall (Editor), James Llinas (Editor) "Integration or fusion of data from multiple sensors improves the accuracy of applications ranging from target tracking and battlefield surveillance to nondefense applications such as..." (more)
Key Phrases: fusion process model, unified tracking, data fusion activities, Handbook of Multisensor Data Fusion, Artech House, New York (more...)

Editorial Reviews

Product 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:ooffers a thorough introduction to data fusion terminology and modelsodescribes advanced techniques for data association, target tracking, and identificationopresents practical information on system development, including requirements analysis, systems engineering, algorithm selection, database design, human-computer interfaces, and performance assessmentointroduces applications from the DoD, NASA, DARPA, and condition-based monitoring of complex machineryosupplies data fusion resources and Web sitesThe 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.

Product Details

• Hardcover: 568 pages
• Publisher: CRC; 1 edition (June 20, 2001)
• Language: English
• ISBN-10: 0849323797
• ISBN-13: 978-0849323799
• Product Dimensions: 10.1 x 6.6 x 1.4 inches
• Shipping Weight: 2.5 pounds (View shipping rates and policies)
• Average Customer Review: 4.0 out of 5 stars  See all reviews (2 customer reviews)
• Amazon.com Sales Rank: #994,116 in Books (See Bestsellers in Books)

Customer Reviews

Most Helpful Customer Reviews

4 of 5 people found the following review helpful:

5.0 out of 5 stars This Book is the Authorative Handbook - Highly Recommended!!, February 2, 2004

By	T. Bass "Tim Bass" (Palo Alto, CA United States) - See all my reviews (REAL NAME)

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.

0 of 19 people found the following review helpful:

3.0 out of 5 stars MotownBlue, August 3, 2005

By	J. Gorman "MotownBlue" (Worcester, MA USA) - See all my reviews (REAL NAME)

Useful overview for users of Oracle's Java IDE. Most useful for n-tier development with Oracle's database & application server. Not as useful for 2 tier or desktop developers.