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现代矿业 ›› 2025, Vol. 41 ›› Issue (06): 229-232.

• 实用技术 • 上一篇    下一篇

无人机倾斜摄影测绘在露天矿山生态修复中的应用

孙康平 穆 哲 王纪珍   

  1. 中国建筑材料工业地质勘查中心陕西总队
  • 出版日期:2025-06-25 发布日期:2025-08-06

Application of UAV Oblique Photogrammetry in Ecological Restoration of Open-pit Mines

  1. Shaanxi Branch of China National Geological Exploration Center of Building Materials Industry
  • Online:2025-06-25 Published:2025-08-06

摘要: 露天矿山地形复杂、高差显著,传统测绘方法效率低、精度不足,难以满足道路塌陷等 地质灾害的快速监测需求,制约了矿山生态修复的精准实施。为解决这一问题,以露天矿山道路塌 陷监测为目标,研究无人机倾斜摄影测绘技术在矿山生态修复中的创新应用,旨在解决复杂地形情 况下的地表信息获取效率低、塌陷识别精度不足等难题。通过优化无人机航测参数,采集矿区高分 辨率多视角影像数据,采用径向和切向畸变校正模型提升影像几何精度,并基于不规则三角网(TIN) 滤波算法剔除植被、噪声等干扰,构建高精度矿山地表三维模型,实现塌陷区的自动识别与量化分 析。研究结果表明:该方法生成的三维模型平面误差小于0.015 m,高程误差低于0.02 m,塌陷边界识 别准确率达98.7%,监测结果与实地勘查完全吻合;相比传统RTK测量,效率提升5倍以上,且能捕捉 微小变形,为矿山地质灾害监测提供了高效、低成本的技术手段,显著提升了塌陷预警能力,高精度 三维模型可支撑生态修复工程的精细化设计,技术流程可推广至其他露天矿区。研究为矿山生态修 复提供了可靠的数据支撑与参考,对助力矿山环境治理的智能化转型,具有重要的工程应用价值。

关键词: 无人机倾斜摄影测绘, 露天矿山, 道路塌陷, 生态修复

Abstract: The terrain of open-pit mines is complex,the height difference is significant,and the tradi⁃ tional surveying and mapping method is low in efficiency and insufficient in accuracy,which is difficult to meet the needs of rapid monitoring of geological disasters such as road collapse,restricting the accurate im⁃ plementation of mine ecological restoration. In order to solve this problem,the innovative application of UAV oblique photogrammetry in mine ecological restoration was studied with the objective of monitoring road collapse in open-pit mines,aiming to solve the difficult problems such as low efficiency of surface in⁃ formation acquisition and insufficient accuracy of collapse recognition in complex terrain. By optimizing UAV aerial survey parameters,high-resolution multi-view image data of mining area was collected,radial and tangential distortion correction models were adopted to improve the geometric accuracy of the image, and disturbance such as vegetation and noise was eliminated based on the filtering algorithm of Triangulation Irregular Network (TIN),and high-precision three-dimensional mine surface model was constructed to real⁃ ize automatic identification and quantitative analysis of subsidence areas. The results show that the plane er⁃ ror and elevation error of the 3D model generated by this method are less than 0.015 m and less than 0.02 m, and the recognition accuracy of collapse boundary is 98.7%. The monitoring results are completely consis⁃ tent with the field survey. Compared with the traditional RTK measurement,the efficiency is increased by more than 5 times,and the small deformation can be captured,which provides an efficient and low-cost technical means for mine geological disaster monitoring,and significantly improves the collapse warning ability. The high-precision three-dimensional model can support the fine design of ecological restoration projects,and the technical process can be extended to other open pit mining areas. The research provides re⁃ liable data support and reference for mine ecological restoration,helps the intelligent transformation of mine environmental governance,and has important engineering application value.

Key words: UAV oblique photogrammetry, open-pit mine, road collapse, ecological restoration