Paper
30 September 1996 Multisensor data fusion based on genetic algorithm
Feng Liu, Xinju Cai, Bao Shi, Yue Wang
Author Affiliations +
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Feng Liu, Xinju Cai, Bao Shi, and Yue Wang "Multisensor data fusion based on genetic algorithm", Proc. SPIE 2898, Electronic Imaging and Multimedia Systems, (30 September 1996); https://doi.org/10.1117/12.253406
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Genetic algorithms

Sensors

Palladium

Data fusion

Genetics

Protactinium

Detection and tracking algorithms

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