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Mathematical Techniques in Multisensor Data Fusion (Artech House Radar Library)
 
 
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Mathematical Techniques in Multisensor Data Fusion (Artech House Radar Library) [Hardcover]

David Lee Hall (Author)
4.0 out of 5 stars  See all reviews (2 customer reviews)

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Book Description

0890065586 978-0890065587 February 1, 1992
This invaluable reference offers the most comprehensive introduction available to the concepts of multisensor data fusion. It introduces key algorithms, provides advice on their utilization, and raises issues associated with their implementation. With a diverse set of mathematical and heuristic techniques for combining data from multiple sources, the book shows how to implement a data fusion system, describes the process for algorithm selection, functional architectures and requirements for ancillary software, and illustrates man-machine interface requirements an database issues.

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Mathematical Techniques in Multisensor Data Fusion (Artech House Radar Library) + Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition (Electrical Engineering & Applied Signal Processing Series) + Multi-Sensor Data Fusion: An Introduction
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Editorial Reviews

About the Author

David L. Hall is the associate dean for research at The Pennsylvania State University, School of Information Sciences and Technology. He is also the author of Lectures in Multisensor Data Fusion and Target Tracking (Artech House, 2001). He earned his Ph.D. in Astronomy at The Pennsylvania State University. He is an IEEE Fellow. Sonya A. H. McMullen is a Captain with the US Air Force. She earned an M.S. in aerospace engineering at Embry-Riddle Aeronautic University.

Product Details

  • Hardcover: 320 pages
  • Publisher: Artech House (February 1, 1992)
  • Language: English
  • ISBN-10: 0890065586
  • ISBN-13: 978-0890065587
  • Product Dimensions: 9.5 x 6.1 x 1 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #2,659,813 in Books (See Top 100 in Books)

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7 of 8 people found the following review helpful:
3.0 out of 5 stars Good book, November 4, 2007
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G. L. Sinsley (Pleasant Gap, PA United States) - See all my reviews
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This is a good overall review of the subject. Contrary to what the title says, the book is very light on math. If you want to do serious work in this area, you'll need some more in depth references, but this book gets you started, and points you to the references you'll need.
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8 of 26 people found the following review helpful:
5.0 out of 5 stars This is the most complete data fusion reference available., March 19, 1999
This review is from: Mathematical Techniques in Multisensor Data Fusion (Artech House Radar Library) (Hardcover)
This is a well written reference book that clearly describes the mathematical aspects of multisensor data fusion. It can be used effectively by experts and those who are just beginning to explore this technology. The book includes clear figures, tables, and equations and features an exhaustive list of references for further study. I highly recommend this book as a first step to understanding this technology and its impacts.
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This chapter provides an introduction to the concepts and terminology of multisensor data fusion. Read the first page
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New York, Johns Hopkins University, Tri-Service Data Fusion Symposium, Artech House, John Wiley, Handbook of Multisensor Data Fusion, Boca Raton, National Symposium, Academic Press, Intelligent Systems, San Diego, International Conference, State College, Monte Carlo, Englewood Cliffs, Goddard Space Flight Center, John Jones, Joint Directors of Laboratories, Prentice Hall, Addison-Wesley Publishing Company, American Scientist, Carnegie Mellon University, Department of Defense, Kluwer Academic Publishers, Robotic Systems
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