测绘通报 ›› 2023, Vol. 0 ›› Issue (5): 135-139.doi: 10.13474/j.cnki.11-2246.2023.0150

• 技术交流 • 上一篇    下一篇

无人机影像匹配点云的露天矿台阶高度计算方法

吕欣阳1, 樊冬丽1, 张广运2, 檀丁2   

  1. 1. 上海应用技术大学, 上海 201418;
    2. 南京工业大学, 江苏 南京 211816
  • 收稿日期:2023-03-13 发布日期:2023-05-31
  • 通讯作者: 张广运。E-mail:tanding1987@163.com
  • 作者简介:吕欣阳(1998-),男,硕士生,主要从事测绘地理信息新技术应用工作。E-mail:83548746@qq.com
  • 基金资助:
    国家自然科学基金(41974214);江苏省地质矿产勘查局科研项目(2020KY03)

Calculation method of step height in open-pit mining area based on UAV image matching point cloud

Lü Xinyang1, FAN Dongli1, ZHANG Guangyun2, TAN Ding2   

  1. 1. Shanghai Institute of Technology, Shanghai 201418, China;
    2. Nanjing Tech University, Nanjing 211816, China
  • Received:2023-03-13 Published:2023-05-31

摘要: 计算露天矿台阶高度是矿山测量验收工作的重要部分,对加强矿山生产监控和成本管理具有重要意义。针对传统台阶高度量测方法工作量大、效率差,难以保障测绘人员安全等问题,本文基于无人机倾斜摄影获取的露天矿点云提出了一种顾及边坡分层结构的台阶高度计算方法。该方法通过面元划分剔除平坦区域,再利用密度聚类处理坡面点云,最后通过随机抽样一致性获取台阶坡顶线和坡底线,计算台阶高度。试验结果表明,该方法可以高效、精确地量测露天矿台阶高度,对于矿区的开采作业和安全防范具有重要的应用价值。

关键词: 坡线提取, 露天矿区, 台阶高度, 点云处理

Abstract: The calculation of step height in open-pit mine is an important part of mine survey and acceptance, which is of great significance to strengthen mine production monitoring and cost management.In view of the problems of the traditional step height measurement method, such as heavy workload, poor efficiency and difficulty in ensuring the safety of surveyors, this paper proposes a step height calculation method considering the stratified structure of slope based on the open pit point cloud obtained by the tilt photography of UAV. In this method, the flat area is eliminated by surface element division, the slope point cloud is processed by density clustering, and the top line and bottom line of the step are obtained by random sampling consistency. Finally, the height of the step is calculated. The experimental results show that it can measure the step height efficiently and accurately in open-pit mine, which has important application value for mining operation and safety.

Key words: slope line extraction, open-pit mines, step height, point cloud processing

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