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Sensor and Data Fusion: A Tool for Information Assessment and Decision Making (SPIE Press Monograph Vol. PM138)
 
 
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Sensor and Data Fusion: A Tool for Information Assessment and Decision Making (SPIE Press Monograph Vol. PM138) [Hardcover]

Lawrence A. Klein (Author)
5.0 out of 5 stars  See all reviews (1 customer review)


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Book Description

0819454354 978-0819454355 July 1, 2004
This book describes the benefits of sensor fusion as illustrated by considering the characteristics of infrared, microwave, and millimeter-wave sensors, including the influence of the atmosphere on their performance, sensor system application scenarios that may limit sensor size but still require high resolution data, and the attributes of data fusion architectures and algorithms. The data fusion algorithms discussed in detail include classical inference, Bayesian inference, Dempster-Shafer evidential theory, artificial neural networks, voting logic as derived from Boolean algebra expressions, fuzzy logic, and detection and tracking of objects using only passively acquired data. A summary is presented of the information required to implement each of the data fusion algorithms discussed.

Weather forecasting, Earth resource surveys that use remote sensing, vehicular traffic management, target classification and tracking, military and homeland defense, and battlefield assessment are some of the applications that will benefit from the discussions of signature-generation phenomena, sensor fusion architectures, and data fusion algorithms provided in this text.

Contents

- List of Figures

- List of Tables

- Preface

- Introduction

- Multiple Sensor System Applications, Benefits, and Design Considerations

- Data Fusion Algorithms and Architectures

- Classical Inference

- Bayesian Inference

- Dempster-Shafer Evidential Theory

- Artificial Neural Networks

- Voting Logic Fusion

- Fuzzy Logic and Fuzzy Neural Networks

- Passive Data Association Techniques for Unambiguous Location of Targets

- Retrospective Comments

- Appendix A: Planck Radiation Law and Radiative Transfer

- Appendix B: Voting Fusion with Nested Confidence Levels

- Index


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Product Details

  • Hardcover: 342 pages
  • Publisher: SPIE Publications (July 1, 2004)
  • Language: English
  • ISBN-10: 0819454354
  • ISBN-13: 978-0819454355
  • Product Dimensions: 10.1 x 7 x 1 inches
  • Shipping Weight: 2 pounds
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,894,694 in Books (See Top 100 in Books)

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0 of 2 people found the following review helpful:
5.0 out of 5 stars Data Fusion Review, August 9, 2007
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This review is from: Sensor and Data Fusion: A Tool for Information Assessment and Decision Making (SPIE Press Monograph Vol. PM138) (Hardcover)
The book is of great depth and still wide in the diverse areas of data fusion.

Real world examples are picked up and related to data fusion technologies or methods.

It is a good start to the solution of any problem that deals with fusing information, of all types and sorts.

José Freitas - Madeira - Portugal



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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
sensor fusion, multisensor data fusion, remote sensing, cluster targets, system detection probability, probability mass matrix, largest probability mass, unpaired tracks, central track file, sensor detection probabilities, centralized fusion architecture, system false alarm probability, probability mass assignments, plausibility transformation, target identification application, direction angle measurements, state correlator, fusion processor, evidential theory, data fusion architectures, track estimation, focal subset, meteorological range, multiple sensor systems, other artificial neural networks
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Artech House, High Confidence, Low Confidence, Academic Press, Geophysics Laboratory, Single Multiple, Madaline Rule, Application of Dempster, Mathematical Techniques, True Targets, Multiple Track, Prentice Hall, Type Key Operating Principles Applications, Englewood Cliffs, Med Confidence, Radar Class, Artificial Intelligence, Research Institute, Morgan Kaufmann Publishers, Denotes Sensor Location, Ann Arbor, Tracking of Point Source, Ontar Corporation, Intelligent Systems
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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