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An Efficient Method of Road Extraction in SAR Image

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Advances in Natural Computation (ICNC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4222))

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Abstract

A new method of the Road extraction in synthetic aperture radar (SAR) image is proposed in this paper. Roads in a high resolution SAR image can be modeled as a homogeneous dark area bounded by two parallel lines. The fundamental is based on linear extraction and improved Hough transform. Combining Hough transform and the partition of the line, the problem of location of line segments was solved. The improved Hough transform is tested on synthetic images and noisy images. The experimental results show the method’s validity.

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References

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Author information

Authors and Affiliations

  1. Computer school of Northwestern Polytechnical University, P.O. Box 756, Xi’an, Shaanxi, P.R. China

    Min Wang, Yanning Zhang & Lili Zhang

Authors
  1. Min Wang
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  2. Yanning Zhang
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  3. Lili Zhang
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Editor information

Editors and Affiliations

  1. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  3. School of Electronic Engineering, Xidian Univ., P.O. Box, 710071, Xi’an, P.R. China

    Xinbo Gao

  4. College of Mathematics and Information Science, Hebei Normal University, 050016, Shijiazhuang, Hebei, P.R. China

    Jing Liu

  5. Multi-Agent Systems Lab,Department of Computer Science, University of Science and Technology of China, 230026, Hefei, China

    Feng Wu

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© 2006 Springer-Verlag Berlin Heidelberg

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Wang, M., Zhang, Y., Zhang, L. (2006). An Efficient Method of Road Extraction in SAR Image. In: Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881223_89

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  • DOI: https://doi.org/10.1007/11881223_89

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45907-1

  • Online ISBN: 978-3-540-45909-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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