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Rapid Recognition of Cave Target Using AirBorne LiDAR Data

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Advances in Image and Graphics Technologies (IGTA 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 525))

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Abstract

Based on the special geometry of cave targets, a method for LiDAR point cloud data rapid recognition of residents cave and natural cave has been proposed. By calculating the distance between LiDAR points and sensor position, the target can be quickly identified if there is a distance sudden change. In order to improve the accuracy of target recognition, the number threshold of sudden change points and region-wide threshold are introduced, and the recognized target contour points can be further distinguished in target front plane or inside plane.

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References

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Author information

Authors and Affiliations

  1. Information Engineering University, Zhengzhou, 450052, China

    Guangjun Dong & Sheng Luo

  2. The Office Agency of Xizang Troops Stationed in Sichuan, Chengdu, China

    Zhu Chaojie

  3. National University of Defense Technology, Changsha, China

    Haifang Zhou

Authors
  1. Guangjun Dong
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  2. Zhu Chaojie
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  3. Haifang Zhou
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  4. Sheng Luo
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Corresponding author

Correspondence to Guangjun Dong .

Editor information

Editors and Affiliations

  1. Chinese Academy of Sciences Instute of Automation, Beijing, China

    Tieniu Tan

  2. Beijing Jiaotong University, Beijing, China

    Qiuqi Ruan

  3. Tsinghua University, Beijing, China

    Shengjin Wang

  4. Tsinghua University, Beijing, China

    Huimin Ma

  5. Chinese Academy of Sciences, Beijing, China

    Kaichang Di

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© 2015 Springer-Verlag Berlin Heidelberg

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Dong, G., Chaojie, Z., Zhou, H., Luo, S. (2015). Rapid Recognition of Cave Target Using AirBorne LiDAR Data. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds) Advances in Image and Graphics Technologies. IGTA 2015. Communications in Computer and Information Science, vol 525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47791-5_48

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  • DOI: https://doi.org/10.1007/978-3-662-47791-5_48

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47790-8

  • Online ISBN: 978-3-662-47791-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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