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).
Cuprins
Chapter 1. Definitions (Isabelle Bloch, Henri Maître).
Chapter 2. Fusion in signal processing (Jean-Pierre Le Cadre, Vincent Nimier and Roger Reynaud).
Chapter 3. Fusion i...
Despre autor
Isabelle Bloch is Professor at the Ecole Nationale
Supérieure des
Télécommunications, Paris, France.