The low-small-slow target detection using multi-source decision fusion

Gang Cheng; Yuan Li; Nan Xu; ZengQiang Lei; Ke Yang; Yong Zhang

doi:10.1117/12.2548249

18 December 2019 The low-small-slow target detection using multi-source decision fusion

Gang Cheng, Yuan Li, Nan Xu, ZengQiang Lei, Ke Yang, Yong Zhang

Proceedings Volume 11338, AOPC 2019: Optical Sensing and Imaging Technology; 113383R (2019) https://doi.org/10.1117/12.2548249
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China

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.

Citation Download Citation

Gang Cheng, Yuan Li, Nan Xu, ZengQiang Lei, Ke Yang, and Yong Zhang "The low-small-slow target detection using multi-source decision fusion", Proc. SPIE 11338, AOPC 2019: Optical Sensing and Imaging Technology, 113383R (18 December 2019); https://doi.org/10.1117/12.2548249

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