Fusion Algorithm of Target Identification

Xiao Ji-li · Journal of Jilin University of Technology · 2001

The paper proposes an improved algorithm of multisensor data fusion for target recognition and classification. In the data fusion process, fuzzy mathematics and Shafer-Dempster evidential theory is selected and used for the data fusion. By comparing the simulation experiment results based on separate original data and fused data respectively, the research has reached the conclusion that the latter is more accurate than the former.

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