Mathematical Techniques in Multisensor Data Fusion

Mathematical Techniques in Multisensor Data Fusion

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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.

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Product details

  • Hardback | 466 pages
  • 157.48 x 231.14 x 30.48mm | 204.12g
  • Artech House Publishers
  • Norwood, United States
  • English
  • Revised
  • 2nd Revised edition
  • 1, black & white illustrations
  • 1580533353
  • 9781580533355
  • 1,202,063

Table of contents

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.

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