Information Fusion in Signal and Image Processing: Major Probabilistic and Non-Probabilistic Numerical Approaches)
Author(s): Isabelle Bloch
Publisher: Wiley-ISTE
Publication Date: 27 Dec. 2007
Edition: 1st
Language: English
Print length: 320 pages
ISBN-10: 1848210191
ISBN-13: 9781848210196
Book Description
The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast-moving times, it is important to take stock of the changes that have occurred. As such, this books offers an overview of the general principles and specificities of information fusion in signal and image processing, as well as covering the main numerical methods (probabilistic approaches, fuzzy sets and possibility theory and belief functions).
Editorial Reviews
From the Inside Flap
The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast-moving times, it is important to take stock of the changes that have occurred. As such, this books offers an overview of the general principles and specificities of information fusion in signal and image processing, as well as covering the main numerical methods (probabilistic approaches, fuzzy sets and possibility theory and belief functions).
From the Back Cover
The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast-moving times, it is important to take stock of the changes that have occurred. As such, this books offers an overview of the general principles and specificities of information fusion in signal and image processing, as well as covering the main numerical methods (probabilistic approaches, fuzzy sets and possibility theory and belief functions).
About the Author
Isabelle Bloch is Professor at the Ecole Nationale Supérieure des Télécommunications, Paris, France.
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