Sensor and data fusion - Info and Reading Options
a tool for information assessment and decision making
By Lawrence A. Klein
"Sensor and data fusion" was published by SPIE in 2012 - Bellingham, Wash, it has 473 pages and the language of the book is English.
“Sensor and data fusion” Metadata:
- Title: Sensor and data fusion
- Author: Lawrence A. Klein
- Language: English
- Number of Pages: 473
- Publisher: SPIE
- Publish Date: 2012
- Publish Location: Bellingham, Wash
“Sensor and data fusion” Subjects and Themes:
- 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
Edition Specifications:
- Pagination: xxvi, 473 p.
Edition Identifiers:
- The Open Library ID: OL31106930M - OL106687W
- Online Computer Library Center (OCLC) ID: 798878668
- Library of Congress Control Number (LCCN): 2012943135
- ISBN-13: 9780819491336 - 9780819491343
- ISBN-10: 0819491330
- All ISBNs: 0819491330 - 9780819491336 - 9780819491343
AI-generated Review of “Sensor and data fusion”:
"Sensor and data fusion" Table Of Contents:
- 1- List of figures
- 2- List of tables
- 3- Preface
- 4- Chapter 1. Introduction
- 5- Chapter 2. Multiple sensor system applications, benefits, and design considerations
- 6- Chapter 3. Sensor and data fusion architectures and algorithms
- 7- Chapter 4. Classical inference
- 8- Chapter 5. Bayesian inference
- 9- Chapter 6. Dempster-Shafer evidential theory
- 10- Chapter 7. Artificial neural networks
- 11- Chapter 8. Voting logic fusion
- 12- Chapter 9. Fuzzy logic and fuzzy neural networks
- 13- Chapter 10. Data fusion issues associated with multiple radar tracking systems
- 14- Chapter 11. Passive data association techniques for unambiguous location of targets
- 15- Chapter 12. Retrospective comments
- 16- Appendix A. Planck radiation law and radiative transfer
- 17- Appendix B. Voting fusion with nested confidence levels
- 18- Appendix C. The fundamental matrix of a fixed continuous-time system
- 19- Index.
"Sensor and data fusion" Description:
The Open Library:
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.
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