E-raamat: Information Fusion in Signal and Image Processing: Major Probabilistic and Non-Probabilistic Numerical Approaches

The contributors of these 12 papers offer overviews of the general principles as well as main numerical methods, making this suitable for those new to the field as well as for professionals seeking information on a specific subject. They start with definitions, including choosing a definition and understanding numerical and symbolic concepts, the cover fusion in signal processing and in image processing, fusion in robotics, information and knowledge representation in fusion problems, probabilistic and statistical methods, belief function theory, fuzzy sets and possibility theory, spatial information in fusion methods, multi-agent methods (including an example of an architecture and an application for the detection, recognition and identification of targets), fusion of non-simultaneous elements of information, also known as "temporal fusion." Appendices include information on theoretical background and commentary on applications. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)

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).