Paper
22 October 1993 Possibilistic versus probabilistic trade-off for data association
Christopher L. Bowman
Author Affiliations +
Abstract
This paper discusses probabilistic, possibilistic, and symbolic logic approaches to data association as part of the multi-sensor integration (MSI) problem. Alternative probabilistic scoring equations are given with specific trades between max a posterori and chi-square scoring. Dempster-Shafer and fuzzy set approaches to treat data with high uncertainty-in-the- uncertainty are compared. The role of symbolic rule-oriented approaches especially as part of a fusion analyst workstation (FAWS) expert system is discussed. Lastly, an avionics MSI design trade example is presented.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christopher L. Bowman "Possibilistic versus probabilistic trade-off for data association", Proc. SPIE 1954, Signal and Data Processing of Small Targets 1993, (22 October 1993); https://doi.org/10.1117/12.157775
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Sensors

Kinematics

Fuzzy logic

Multispectral imaging

Data fusion

Logic

Data integration

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