Sensor and data fusion : a tool for information assessment and decision making

✍ Scribed by Klein, Lawrence A.

Publisher: SPIE
Year: 2012
Tongue: English
Leaves: 486
Series: SPIE Press monograph PM222.; SPIE Digital Library.
Edition: 2nd ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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 Read more...

✦ 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.

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