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Proceedings Paper

Global evaluation of focussed Bayesian fusion
Author(s): Jennifer Sander; Michael Heizmann; Igor Goussev; Jürgen Beyerer
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Paper Abstract

Information fusion is essential for the retrieval of desired information in a sufficiently precise, complete, and robust manner. The Bayesian approach provides a powerful and mathematically funded framework for information fusion. By local Bayesian fusion approaches, the computational complexity of Bayesian fusion gets drastically reduced. This is done by a concentration of the actual fusion task on its probably most task relevant aspects. In this contribution, further research results on a special local Bayesian fusion technique called focussed Bayesian fusion are reported. At focussed Bayesian fusion, the actual Bayesian fusion task gets completely restricted to the probably most relevant parts of the range of values of the Properties of Interest. The practical usefulness of focussed Bayesian fusion is shown by the use of an example from the field of reconnaissance. Within this example, final decisions are based on local significance considerations and consistency arguments. As shown in previous publications, the absolute values of focussed probability statements represent upper bounds for their global values. Now, lower bounds which are obtained from the knowledge about the construction of the focussed Bayesian model are proven additionally. The usefulness of the resulting probability interval scheme is discussed.

Paper Details

Date Published: 28 April 2010
PDF: 12 pages
Proc. SPIE 7710, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 77100A (28 April 2010); doi: 10.1117/12.850028
Show Author Affiliations
Jennifer Sander, Karlsruhe Institute of Technology (Germany)
Michael Heizmann, Fraunhofer-Institute of Optronics, System Technologies and Image Exploitation (Germany)
Igor Goussev, Karlsruhe Institute of Technology (Germany)
Jürgen Beyerer, Karlsruhe Institute of Technology (Germany)
Fraunhofer-Institute of Optronics, System Technologies and Image Exploitation (Germany)


Published in SPIE Proceedings Vol. 7710:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010
Jerome J. Braun, Editor(s)

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