Sensor and Data Fusion Concepts and Applications
Lawrence A. Klein(Author)
SPIE Press
2nd Edition
Published on 30. October 1999
Book
Paperback/Softback
252 pages
978-0-8194-3231-5 (ISBN)
Description
First published in 1993, this "Tutorial Text" has been revised and updated to provide explanations and examples of data fusion algorithms in areas not covered in the first edition. These include Bayesian inference, artificial neural networks and fuzzy logic. All of the chapters in the first edition have been revised and updated and new material is included on the FASCODE and MODTRAN atmospheric models, and EOSAEL, which analyzes physical processes that affect the performance of millimeter-wave and IR sensors.
More details
Series
Edition
2nd Revised edition
Language
English
Place of publication
Bellingham
United States
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
Illustrations
indexes
Dimensions
Height: 230 mm
ISBN-13
978-0-8194-3231-5 (9780819432315)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
Multiple Sensor System Applications, Benefits, and Atmospheric Attenuation; Data Fusion Algorithms and Architectures; Bayesian Inference; Dempster-Shafer Algorithm; Artificial Neural Networks; Voting Fusion; Fuzzy Logic and Neural Networks; Passive Data Association Techniques for Unambiguous Location of Targets. Appendices: Planck Radiation Law and Radiative Transfer; Voting Fusion With Nested Confidence Levels.