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Proceedings Paper

Multisensor data fusion based on genetic algorithm
Author(s): Feng Liu; Xinju Cai; Bao Shi; Yue Wang
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Paper Abstract

This paper raises an algorithm of multisensor-multitarget data association based on the genetic algorithm for solving the problem of resolving and location to densely target in the system of multisensor data fusion. The experiment results indicate that this type of genetic algorithm has higher association success ratio, better adaptation and robustness to the change of type of sensors, resolving power and measurement error.

Paper Details

Date Published: 30 September 1996
PDF: 6 pages
Proc. SPIE 2898, Electronic Imaging and Multimedia Systems, (30 September 1996); doi: 10.1117/12.253406
Show Author Affiliations
Feng Liu, Naval Aeronautical Engineering Academy (China)
Xinju Cai, Naval Aeronautical Engineering Academy (China)
Bao Shi, Naval Aeronautical Engineering Academy (China)
Yue Wang, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 2898:
Electronic Imaging and Multimedia Systems
Chung-Sheng Li; Robert L. Stevenson; LiWei Zhou, Editor(s)

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