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Application of Laser 3D Point Cloud in Semantic Segmentation of Lithology
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Yan-lin SHAO1, Lang LIU1, *, Qi-hong ZENG2, Zhong-gui HU1, Wei WEI1, Fan DENG1, Qing WANG1
Science Technology and Engineering | 2025, 25(4) : 1313 - 1324
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Science Technology and Engineering | 2025, 25(4): 1313-1324
• Survey·Electronic and Communicational Technology •
Application of Laser 3D Point Cloud in Semantic Segmentation of Lithology
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Yan-lin SHAO1, Lang LIU1, *, Qi-hong ZENG2, Zhong-gui HU1, Wei WEI1, Fan DENG1, Qing WANG1
Affiliations
  • 1 Hubei Engineering Research Center of Unconventional Petroleum Geology and Engineering, Yangtze University, Wuhan 430100, China
  • 2 Research Institute of Petroleum Exploration & Development, Beijing 100000, China
Published: 2025-02-28 doi: 10.12404/j.issn.1671-1815.2401864
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Laser 3D scanning technology rapidly acquires point cloud data of target surfaces, including spatial point coordinates that describe the geometric features of the target and laser reflectance intensity that characterizes the material’s reflectivity. The application of automatic semantic segmentation techniques for 3D point clouds in geological exploration research lays the foundation for depicting regional geological features. To demonstrate the recent advancements of 3D laser scanning technology in large-scale semantic segmentation within geological scenarios, firstly, photogrammetry and LiDAR as two methods for acquiring 3D point clouds were compared, highlighting the advantages of LiDAR in terms of accuracy, versatility, and insensitivity to lighting conditions. By elucidating the principles of lithological semantic segmentation, a comprehensive review and summary of recent methods based on geometric or intensity features were provided. Common large-scale point cloud datasets and evaluation metrics were introduced, and the segmentation performance of different algorithms was compared. Finally, the limitations of existing methods were summarized, and future research directions for lithological semantic segmentation tasks were outlined.

3D LIDAR  /  digital model  /  point cloud semantic segmentation  /  lithological classification
Yan-lin SHAO, Lang LIU, Qi-hong ZENG, Zhong-gui HU, Wei WEI, Fan DENG, Qing WANG. Application of Laser 3D Point Cloud in Semantic Segmentation of Lithology[J]. Science Technology and Engineering, 2025 , 25 (4) : 1313 -1324 . DOI: 10.12404/j.issn.1671-1815.2401864
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Year 2025 volume 25 Issue 4
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Article Info
doi: 10.12404/j.issn.1671-1815.2401864
  • Receive Date：2024-03-15
  • Online Date：2025-07-29
  • Published：2025-02-28
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  • Received：2024-03-15
  • Revised：2024-11-21
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Affiliations
    1 Hubei Engineering Research Center of Unconventional Petroleum Geology and Engineering, Yangtze University, Wuhan 430100, China
    2 Research Institute of Petroleum Exploration & Development, Beijing 100000, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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