
Mathematical Techniques in Multisensor Data Fusion
Artech House Publishers
2nd Edition
Published on 26. February 2004
Book
Hardback
466 pages
978-1-58053-335-5 (ISBN)
Description
Since the publication of the first edition of this book, advances in algorithms, logic and software tools have transformed the field of data fusion. The latest edition covers these areas as well as smart agents, human computer interaction, cognitive aides to analysis and data system fusion control. Besides aiding you in selecting the appropriate algorithm for implementing a data fusion system, this book guides you through the process of determining the trade-offs among competing data fusion algorithms, selecting commercial off-the-shelf (COTS) tools, and understanding when data fusion improves systems processing. Completely new chapters in this second edition explain data fusion system control, DARPA's recently developed TRIP model, and the latest applications of data fusion in data warehousing and medical equipment, as well as defence systems.
More details
Edition
2nd Revised edition
Language
English
Place of publication
Norwood
United States
Target group
Professional and scholarly
Edition type
Revised edition
Product notice
Laminated cover
Illustrations
1, black & white illustrations
Dimensions
Height: 236 mm
Width: 160 mm
Thickness: 29 mm
Weight
735 gr
ISBN-13
978-1-58053-335-5 (9781580533355)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
David L. Hall is the associate dean for research and graduate programs 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 M.S. in Astronomy at The Pennsylvania State University. 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.
Content
Introduction to multisensor data fusion; taxonomy of algorithms and JDL model; data association and correlation; kinematic and attribute estimation; identity declaration; decision-level identity fusion; knowledge-based approaches; process monitoring and optimization; human computer interaction; implementing data fusion systems.