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An Artificial Neural Network Method for Map Correction

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Advances in Neural Networks – ISNN 2005 (ISNN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3498))

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Abstract

Raster map should be corrected after scanned because of the errors caused by paper map deformation. In the paper, the deficiency of the polynomial fitting method is analyzed. The paper introduces an ANN (Artificial Neural Network) correcting method that utilizes the advantage of its function approximation ability. In the paper, two types of ANNs, BP and GRNN, are designed for the correcting. The comparing experiment is done with the same data by the polynomial fitting and ANN methods, utilizing the MALAB. The experiment results show that the ANN methods, especially the GRNN method, performances far better than the polynomial fitting method does.

This work was supported by 863 Program Project of China (Grant No.2003AA132050) and China Postdoctoral Science Foundation (Grant No.2004035154).

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References

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Author information

Authors and Affiliations

  1. College of Automation, Chongqing University, Chongqing, 400044, China

    Yi Chai, Maoyun Guo & Dalong Feng

  2. The Key Laboratory of High Voltage Engineering and Electrical New Technology of, Ministry of Education, Chongqing University, Chongqing, 400044, China

    Yi Chai

  3. Xichang Satellite Launch Center, Xichang, Sichuang, 615000, China

    Shangfu Li & Zhifen Zhang

Authors
  1. Yi Chai
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  2. Maoyun Guo
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  3. Shangfu Li
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  4. Zhifen Zhang
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  5. Dalong Feng
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. The Key Laboratory of Optoelectric Technology & Systems, Ministry of Education, China

    Xiao-Feng Liao

  3. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

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© 2005 Springer-Verlag Berlin Heidelberg

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Chai, Y., Guo, M., Li, S., Zhang, Z., Feng, D. (2005). An Artificial Neural Network Method for Map Correction. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427469_159

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  • DOI: https://doi.org/10.1007/11427469_159

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25914-5

  • Online ISBN: 978-3-540-32069-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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