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Proceedings Paper

Fusion of disparate information sources in a hybrid decision-support architecture
Author(s): Jerome J. Braun; Yan Glina; Laura Brattain
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Paper Abstract

Disparity and uncertainty of information sources are both significant problems in information fusion. This paper investigates the problem of disparity in general, and in conjunction with FLASH - a hybrid information-fusion cognitive-processing approach we developed. Different forms of disparity are identified and their categorization is presented, and their implications on the information fusion processes are discussed. The issue of feature-level vs. decision-level fusion is investigated, and the methods of coping with disparity within FLASH are presented. Source uncertainty estimation techniques are discussed as well. Disparity studies and the results of computational experiments related to them are presented. These studies are suggestive of the potential of the FLASH hybrid approach for fusion of disparate information sources.

Paper Details

Date Published: 9 April 2007
PDF: 12 pages
Proc. SPIE 6571, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007, 65710H (9 April 2007); doi: 10.1117/12.720659
Show Author Affiliations
Jerome J. Braun, MIT Lincoln Lab. (United States)
Yan Glina, MIT Lincoln Lab. (United States)
Laura Brattain, MIT Lincoln Lab. (United States)

Published in SPIE Proceedings Vol. 6571:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007
Belur V. Dasarathy, Editor(s)

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