Information fusion in signal and image processing major probabilistic and non-probabilistic numerical approaches

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...

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Bibliographic Details
Main Author: Bloch, Isabelle
Format: eBook
Published: London ISTE 2008
Series:Digital signal and image processing series
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Includes bibliographical references and index
  • Definitions / Isabelle Bloch and Henri Maître
  • Fusion in signal processing / Jean-Pierre Le Cadre, Vincent Nimier, and Roger Reynaud
  • Fusion in image processing / Isabelle Bloch and Henri Maître
  • Fusion in robotics / Michèle Rombaut
  • Information and knowledge representation in fusion problems / Isabelle Bloch and Henri Maître
  • Probabilistic and statistical methods / Isabelle Bloch, Jean-Pierre Le Cadre, and Henri Maître
  • Belief function theory / Isabelle Bloch
  • Fuzzy sets and possibility theory / Isabelle Bloch
  • Spatial information in fusion methods / Isabelle Bloch
  • Multi-agent methods : an example of an architecture and its application for the detection, recognition, and identification of targets / Fabienne Ealet, Bertrand Collin, and Catherine Garbay
  • Fusion of non-simultaneous elements of information : temporal fusion / Michèle Rombaut
  • Probabilities : a historical perspective
  • Axiomatic inference of the Dempster-Shafer combination rule