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Method of Using Neural Network Combined with D-S Theory to Carry Out HRR Target Recognition
WANG Mao-lu, LI Shao-hong, MAO Shi-yi*
Beijing University of Aeronautics and Astronautics, Dept. of Electronic Engineering

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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.
Keywords�� recognition   high resolution   neural networks   multi-sensor   data fusion     
Received 2000-12-04;
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��ë·, ���ٺ�, ëʿ��.��������D-S���۽�ϵ�HRRʶ���о�[J]  �������պ����ѧѧ��, 2002,V28(4): 443-446
WANG Mao-lu, LI Shao-hong, MAO Shi-yi.Method of Using Neural Network Combined with D-S Theory to Carry Out HRR Target Recognition[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2002,V28(4): 443-446
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