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Proceedings Paper

The low-small-slow target detection using multi-source decision fusion
Author(s): Gang Cheng; Yuan Li; Nan Xu; ZengQiang Lei; Ke Yang; Yong Zhang
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Paper Abstract

The two-step method using Hypothesis-Generation two steps to early detect the low-small-slow target, is based on the theory of multi-source detection fusion. The Hypothesis-Generation of the target information is built by the data set of multi-sensor. Hypothesis-Union distinguishing of the target information is based on the method of multi-source decision fusion, is realized by distributed decision feature fusion based on Bias minimum risk rule. The experimental results verify the feasibility and effectiveness of the method.

Paper Details

Date Published: 18 December 2019
PDF: 11 pages
Proc. SPIE 11338, AOPC 2019: Optical Sensing and Imaging Technology, 113383R (18 December 2019); doi: 10.1117/12.2548249
Show Author Affiliations
Gang Cheng, Xi'an Institute of Applied Optics (China)
Yuan Li, Xi'an Institute of Applied Optics (China)
Nan Xu, Xi'an Institute of Applied Optics (China)
ZengQiang Lei, Xi'an Institute of Applied Optics (China)
Ke Yang, Xi'an Institute of Applied Optics (China)
Yong Zhang, Xi'an Institute of Applied Optics (China)


Published in SPIE Proceedings Vol. 11338:
AOPC 2019: Optical Sensing and Imaging Technology
John E. Greivenkamp; Jun Tanida; Yadong Jiang; HaiMei Gong; Jin Lu; Dong Liu, Editor(s)

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