Sensor and data fusion
Subtitle: a tool for information assessment and decision making
By: Lawrence A. Klein
Contributors: Society of Photo-optical Instrumentation Engineers
Edition: 2nd ed.
Series: SPIE Press monograph -- PM222; SPIE monograph -- PM222.
Publisher: SPIE
Published: 2012
Place of publication: Bellingham, Wash
Language: eng
Number of pages: 473
ISBN-13: 9780819491336; 9780819491343
Subjects: Signal processing; Digital techniques; Multisensor data fusion
Description: 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.
Notes: Includes bibliographical references and index.

Online version available. http://dx.doi.org/10.1117/3.928035
Table of contents: title: List of figures; title: List of tables; title: Preface; title: Chapter 1. Introduction; title: Chapter 2. Multiple sensor system applications, benefits, and design considerations; title: Chapter 3. Sensor and data fusion architectures and algorithms; title: Chapter 4. Classical inference; title: Chapter 5. Bayesian inference; title: Chapter 6. Dempster-Shafer evidential theory; title: Chapter 7. Artificial neural networks; title: Chapter 8. Voting logic fusion; title: Chapter 9. Fuzzy logic and fuzzy neural networks; title: Chapter 10. Data fusion issues associated with multiple radar tracking systems; title: Chapter 11. Passive data association techniques for unambiguous location of targets; title: Chapter 12. Retrospective comments; title: Appendix A. Planck radiation law and radiative transfer; title: Appendix B. Voting fusion with nested confidence levels; title: Appendix C. The fundamental matrix of a fixed continuous-time system; title: Index.