An edition of Sensor and Data Fusion (2004)

Sensor and data fusion

a tool for information assessment and decision making

2nd ed.

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Sensor and data fusion
Lawrence A. Klein
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December 25, 2021 | History
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An edition of Sensor and Data Fusion (2004)

Sensor and data fusion

a tool for information assessment and decision making

2nd ed.

by

  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

This book illustrates the benefits of sensor fusion by considering the characteristics of infrared, microwave, and millimeter-wave sensors, including the influence of the atmosphere on their performance. Topics include applications of multiple-sensor systems; target, background, and atmospheric signature-generation phenomena and modeling; and methods of combining multiple-sensor data in target identity and tracking data fusion architectures. The information in this edition has been substantially expanded and updated to incorporate recent approaches to sensor and data fusion and application examples.

Publish Date
Publisher
SPIE
Language
English
Pages
473

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Previews available in: English

Subjects
Signal processing, Digital techniques, Multisensor data fusion, Signal processing, digital techniques, Sensor networks, Traitement du signal, Techniques numériques, Fusion multicapteurs, Datenfusion, Sensor, Sensoren, Signaalverwerking

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Edition Availability
Cover of: Sensor and data fusion
Sensor and data fusion: a tool for information assessment and decision making
2012, SPIE
in English - 2nd ed.
  • Not in Library
Libraries near you: WorldCat
Cover of: Sensor and data fusion
Sensor and data fusion: a tool for information assessment and decision making
2004, SPIE--The International Society for Optical Engineering, SPIE Press
in English
Libraries near you: WorldCat
Cover of: Sensor and Data Fusion
Sensor and Data Fusion: A Tool for Information Assessment and Decision Making (SPIE Press Monograph Vol. PM138)
July 2004, SPIE Publications
Hardcover in English
Libraries near you: WorldCat

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Book Details

Published in

Bellingham, Wash

Table of Contents

List of figures
List of tables
Preface
Chapter 1. Introduction
Chapter 2. Multiple sensor system applications, benefits, and design considerations
Chapter 3. Sensor and data fusion architectures and algorithms
Chapter 4. Classical inference
Chapter 5. Bayesian inference
Chapter 6. Dempster-Shafer evidential theory
Chapter 7. Artificial neural networks
Chapter 8. Voting logic fusion
Chapter 9. Fuzzy logic and fuzzy neural networks
Chapter 10. Data fusion issues associated with multiple radar tracking systems
Chapter 11. Passive data association techniques for unambiguous location of targets
Chapter 12. Retrospective comments
Appendix A. Planck radiation law and radiative transfer
Appendix B. Voting fusion with nested confidence levels
Appendix C. The fundamental matrix of a fixed continuous-time system
Index.

Edition Notes

Includes bibliographical references and index.

Online version available. http://dx.doi.org/10.1117/3.928035

Series
SPIE Press monograph -- PM222, SPIE monograph -- PM222.

Classifications

Dewey Decimal Class
681/.2
Library of Congress
TK5102.9 .K53 2012, TK5102.9.K53 2012

The Physical Object

Pagination
xxvi, 473 p.
Number of pages
473

ID Numbers

Open Library
OL31106930M
ISBN 10
0819491330
ISBN 13
9780819491336, 9780819491343
LCCN
2012943135
OCLC/WorldCat
798878668

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
December 25, 2021 Edited by ImportBot import existing book
November 13, 2020 Created by MARC Bot Imported from Library of Congress MARC record.