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Building Automatic Extraction Based on Improved Line Snake Algorithm

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Application of Intelligent Systems in Multi-modal Information Analytics (MMIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1384))

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Abstract

In order to study the automatic and semi-automatic extraction of buildings from aerial images, this paper analyzes the straight-line snake algorithm, adds an average connected distance to its internal energy function, modifies the second-order term, normalizes the external energy function, and adds an external force, Then the improved Snake algorithm and greedy algorithm are used to extract buildings. The method can extract buildings automatically. The experimental results show that the new algorithm can improve the extraction efficiency.

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References

  1. Yang, Y., Zhao, R., Wang, W.: Automatic detection of artificial buildings in aerial images. Comput. Eng. 28(8), 20–21 (2002)

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  2. Tao, W., Liu, J., Tian, J.: A new method for automatic extraction of urban buildings from aerial images. Acta Computer Sinica 26(7), 866–873 (2003)

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  3. Qian, L.: Application of Bayesian network in building detection based on geometric model. Hefei University of Technology, Hefei (2003)

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  4. Lin, Y.: Application of wavelet analysis in building extraction from remote sensing images. Tongji University, Shanghai (2003)

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Author information

Authors and Affiliations

  1. Wuchang Institute of Technology, Wuhan, 430223, Hubei, China

    Bo Wu, Jupu Yuan & Lei Wang

Authors
  1. Bo Wu
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  2. Jupu Yuan
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  3. Lei Wang
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Editor information

Editors and Affiliations

  1. Decision and Information Sciences, Oakland University, Rochester, MI, USA

    Vijayan Sugumaran

  2. Shanghai University, Shanghai, China

    Zheng Xu

  3. Department of Informatics, University of Leicester, Leicester, UK

    Huiyu Zhou

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Wu, B., Yuan, J., Wang, L. (2021). Building Automatic Extraction Based on Improved Line Snake Algorithm. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2021. Advances in Intelligent Systems and Computing, vol 1384. Springer, Cham. https://doi.org/10.1007/978-3-030-74811-1_130

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