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Research on Feature Extraction and Application of LiDAR Data in Mine Landslide Treatment Areas
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Xuming BAI1, Jin ZHANG1, Junli HE2
Mining Research and Development | 2026, 46(2) : 130 - 138
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Mining Research and Development | 2026, 46(2): 130-138
Research on Feature Extraction and Application of LiDAR Data in Mine Landslide Treatment Areas
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Xuming BAI1, Jin ZHANG1, Junli HE2
Affiliations
  • 1.College of Geological and Surveying Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, China
  • 2.Shanxi Institute of Surveying, Mapping and Geoinformation, Taiyuan, Shanxi 030001, China
Published: 2026-02-25
Outline
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Landslide is an extremely destructive natural disaster. Accurate assessment of the ecological restoration effect in mine landslide treatment areas is of great significance for ensuring the safety and ecological stability of the surrounding areas. Airborne Light Detection and Ranging (LiDAR) data were used to construct Digital Elevation Model, Digital Surface Model, and normalized Digital Surface Model for terrain feature extraction. Combined with visible difference vegetation index and texture information features, the Pianqiaogou landslide treatment area in Du'erping Coal Mine was selected as the study area to perform ground object information extraction and classification using support vector machine optimized by particle swarm optimization algorithm. The results show that this method has a good classification performance, with the overall classification accuracy reaching 94.12%, the Kappa coefficient 84.19% and the F1-score 93.52%. It is superior to the other two traditional classification methods. In addition, the Shannon Diversity Index of the treatment area reaches 0.958 4, which verifies the effectiveness of the mine landslide control measures, and provides ideas for the application of LiDAR in mine landslide treatment areas.

Mine landslide treatment area  /  Airborne Light Detection and Ranging  /  Point cloud  /  Feature extraction
白旭明, 张锦, 何军利. 矿山滑坡治理区激光雷达数据特征提取与应用研究. 矿业研究与开发, 2026 , 46 (2) : 130 -138 .
Xuming BAI, Jin ZHANG, Junli HE. Research on Feature Extraction and Application of LiDAR Data in Mine Landslide Treatment Areas[J]. Mining Research and Development, 2026 , 46 (2) : 130 -138 .
Appendix
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Year 2026 volume 46 Issue 2
57
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  • Receive Date：2025-02-13
  • Online Date：2026-10-29
  • Published：2026-02-25
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  • Received：2025-02-13
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Affiliations
    1.College of Geological and Surveying Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, China
    2.Shanxi Institute of Surveying, Mapping and Geoinformation, Taiyuan, Shanxi 030001, 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
species (%)
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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