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Volume 28 Issue 4
Apr.  2002
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Journal of Beijing University of Aeronautics and Astronautics  > 2002  >  28(4): 443-446.
WANG Mao-lu, LI Shao-hong, MAO Shi-yiet al. Method of Using Neural Network Combined with D-S Theory to Carry Out HRR Target Recognition[J]. Journal of Beijing University of Aeronautics and Astronautics, 2002, 28(4): 443-446. (in Chinese)
Citation: WANG Mao-lu, LI Shao-hong, MAO Shi-yiet al. Method of Using Neural Network Combined with D-S Theory to Carry Out HRR Target Recognition[J]. Journal of Beijing University of Aeronautics and Astronautics, 2002, 28(4): 443-446. (in Chinese)
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Method of Using Neural Network Combined with D-S Theory to Carry Out HRR Target Recognition

  • Beijing University of Aeronautics and Astronautics, Dept. of Electronic Engineering

  • Received Date: 04 Dec 2000
  • Publish Date: 30 Apr 2002
    Abstract
  • Based on the Shafer-Dempster reasoning theory, the method of coherent and non-coherent data fusion is studied. The algorithms of multi-sensor data fusion, which include center fusion and distributed fusion. It has been improved that the result of distributed recursive algorithms is better than others. A method of using LINN neural network combined with data fusion is developed to carry out the target recognition. Using high resolution range image of four kinds of target, the result of recognition is put into multi sensor, and is fused then. The correct recognition result is improved greatly by this method compared with using neural network only.

     

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  • [1] 肖人彬,王 雪,费 奇. 相关证据合成研究[J]. 模式识别与人工智能研究, 1993,6 (3):227~234. [2]刘雷健,杨静宇.基于融合信息的物体识别[J]. 模式识别与人工智能, 1993,6(1):28~33. [3]Bogler P. Shafer-Dempster reasoning with applications to multi-sensor target classfication[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1987,SMC-17(6):968~977. [4]李 宏,徐 晖,安 玮基于BP网络与D-S理论相结合的点目标状态下卫星及其伴诱饵的识别方法[J]. 国防科技大学学报,1997,19(2):53~58.
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