Laser & Optoelectronics Progress, Volume. 59, Issue 8, 0812001(2022)

Extraction and Simplification of Terrain Surface Topological Features Based on PiecewiseLinear Morse Theory

Yutian Ji, Chunkang Zhang*, and Yao Yin
Author Affiliations
  • College of Mining, Guizhou University, Guiyang , Guizhou 550025, China
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    Figures & Tables(5)
    Neighborhood comparison algorithm to determine critical points. (a) Peak; (b) pit; (c) saddle
    Morse-Smale complex construction. (a) Rising Morse complex; (b) falling Morse complex; (c) Morse-Smale complex
    Feature extraction result graph. (a) Raw point cloud data; (b) Delaunaytriangulationconstruction; (c) piecewise linear Morse feature extraction
    Diagram of Experimental results. (a) Falling Morse Complex; (b) rising Morse Complex; (c) Morse-Smale complex and triangulation fitting; (d) partial details of Morse-Smale complex
    • Table 1. Point cloud compression

      View table

      Table 1. Point cloud compression

      ModelNumber of point cloudsPoint cloud compressionPoint cloud compression ratio
      Original point clouds14641
      Feature extraction9328531336.29%
      Topology simplification4286504270.73%
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    Yutian Ji, Chunkang Zhang, Yao Yin. Extraction and Simplification of Terrain Surface Topological Features Based on PiecewiseLinear Morse Theory[J]. Laser & Optoelectronics Progress, 2022, 59(8): 0812001

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Mar. 2, 2021

    Accepted: Apr. 22, 2021

    Published Online: Apr. 11, 2022

    The Author Email: Zhang Chunkang (chkang_chd@163.com)

    DOI:10.3788/LOP202259.0812001

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