9781439800034-1439800030-Multi-Sensor Data Fusion with MATLAB®

Multi-Sensor Data Fusion with MATLAB®

ISBN-13: 9781439800034
ISBN-10: 1439800030
Edition: 1
Author: Raol, Jitendra R.
Publication date: 2009
Publisher: CRC Press
Format: Hardcover 568 pages
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Book details

ISBN-13: 9781439800034
ISBN-10: 1439800030
Edition: 1
Author: Raol, Jitendra R.
Publication date: 2009
Publisher: CRC Press
Format: Hardcover 568 pages

Summary

Acknowledged authors Raol, Jitendra R. wrote Multi-Sensor Data Fusion with MATLAB® comprising 568 pages back in 2009. Textbook and eTextbook are published under ISBN 1439800030 and 9781439800034. Since then Multi-Sensor Data Fusion with MATLAB® textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

Using MATLAB® examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly for aerospace applications, although the methods can also be applied to systems in other areas, such as biomedicine, military defense, and environmental engineering.

After presenting several useful strategies and algorithms for DF and tracking performance, the book evaluates DF algorithms, software, and systems. It next covers fuzzy logic, fuzzy sets and their properties, fuzzy logic operators, fuzzy propositions/rule-based systems, an inference engine, and defuzzification methods. It develops a new MATLAB graphical user interface for evaluating fuzzy implication functions, before using fuzzy logic to estimate the unknown states of a dynamic system by processing sensor data. The book then employs principal component analysis, spatial frequency, and wavelet-based image fusion algorithms for the fusion of image data from sensors. It also presents procedures for combing tracks obtained from imaging sensor and ground-based radar. The final chapters discuss how DF is applied to mobile intelligent autonomous systems and intelligent monitoring systems.

Fusing sensors’ data can lead to numerous benefits in a system’s performance. Through real-world examples and the evaluation of algorithmic results, this detailed book provides an understanding of MSDF concepts and methods from a practical point of view.

Select MATLAB programs are available for download on www.crcpress.com

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