Volume 28 Issue 2
Feb.  2002
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SU Hui-min, GAO Jian-hong, CHEN Zheet al. Study on Automatic Selection of Current Images[J]. Journal of Beijing University of Aeronautics and Astronautics, 2002, 28(2): 194-197. (in Chinese)
Citation: SU Hui-min, GAO Jian-hong, CHEN Zheet al. Study on Automatic Selection of Current Images[J]. Journal of Beijing University of Aeronautics and Astronautics, 2002, 28(2): 194-197. (in Chinese)

Study on Automatic Selection of Current Images

  • Received Date: 03 Jul 2000
  • Publish Date: 28 Feb 2002
  • 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.

     

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  • [1]边肇祺, 张学工. 模式识别[M]. 北京:清华大学出版社, 2000. [2]瞿东辉, 张立明. 多层前馈网络在模式识别中的理论和应用[J]. 电子学报, 1995,23(7):64~68.
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