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Remote Sensing Image Classification Algorithm Based on Hopfield Neural Network

  • Guang-jun Dong
  • Yong-sheng Zhang
  • Chao-jie Zhu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3972)

Abstract

Considering the feature of remote sensing images, we put forward a remote sensing image classification algorithm based on Hopfield neural network. First, the function and principle of Hopfield neural network is described in this paper. Then based on the common model of Hopfield neural network, the image classification algorithm using Hopfield neural network is realized and experimental results show that its precision is superior to that of the conventional maximum likelihood classification algorithm.

Keywords

Image Classification Hopfield Neural Network Remote Sensing Image Local Minimum Point Hopfield Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Guang-jun Dong
    • 1
  • Yong-sheng Zhang
    • 1
  • Chao-jie Zhu
    • 1
  1. 1.Information Engineering University Institute of Surveying and MappingZhengzhouChina

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