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�������պ����ѧѧ�� 2002, Vol. 28 Issue (2) :194-197    DOI:
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Study on Automatic Selection of Current Images
SU Hui-min, GAO Jian-hong, CHEN Zhe*
Beijing University of Aeronautics and Astronautics, School of Automation Science and Electrical Engineering

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Abstract�� Automatic selection of Current Image (CI) is a key technology for automation of scene matching navigation system. An algorithm for automatic selection of CI based on 3-layers BP net integrated with Sobel template and on neural network was proposed. The simulation results indicated that the algorithm is simple in structure, short in time, and highly accurate in image classification. By analysis of testing samples, BP parallel structure was shown to be achievable in real time implementation. As tested by Least Square and Bayes Scene Matching algorithms, the current image could reach a final precision higher than 0.5 pixel by means of BP net automatic selection algorithm, simple Scene Matching and accurate Scene Matching.
Keywords�� image processing   neural networks   pattern recognition   scene matching     
Received 2000-07-03;


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�ջ���, �߽���, ����.BP����ʵʱͼ���Զ�ѡȡ�㷨�о�[J]  �������պ����ѧѧ��, 2002,V28(2): 194-197
SU Hui-min, GAO Jian-hong, CHEN Zhe.Study on Automatic Selection of Current Images[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2002,V28(2): 194-197
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