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Proceedings Paper

Survey of multisensor data fusion systems
Author(s): Robert J. Linn; David L. Hall; James Llinas
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Paper Abstract

Multisensor data fusion integrates data from multiple sensors (and types of sensors) to perform inferences which are more accurate and specific than those from processing single-sensor data. Levels of inference range from target detection and identification to higher level situation assessment and threat assessment. This paper provides a survey of more than 50 data fusion systems and summarizes their application, development environment, system status and key techniques. The techniques are mapped to a taxonomy previously developed by Hall and Linn (1990); these include positional fusion techniques, such as association and estimation, and identity fusion methods, including statistical methods, nonparametric methods, and cognitive techniques (e.g. templating, knowledge-based systems, and fuzzy reasoning). An assessment of the state of fusion system development is provided.

Paper Details

Date Published: 1 August 1991
PDF: 17 pages
Proc. SPIE 1470, Data Structures and Target Classification, (1 August 1991); doi: 10.1117/12.44836
Show Author Affiliations
Robert J. Linn, HRB Systems, Inc. (United States)
David L. Hall, HRB Systems, Inc. (United States)
James Llinas, Calspan Corp. (United States)

Published in SPIE Proceedings Vol. 1470:
Data Structures and Target Classification
Vibeke Libby, Editor(s)

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