摘要
针对露天矿边坡稳定性监测难题,提出基于无人机倾斜摄影测量的技术方案。通过构建矿区实景三维模型,结合数字高程模型和正射影像图分析,采用改进的多尺度分割方法和模糊分类理论,实现了滑坡区域的精准识别。实验结果表明,该方法有效提升了边坡灾害早期识别能力,为矿山安全生产提供了可靠的技术支持。研究成果验证了无人机技术在露天矿边坡监测中的适用性和有效性。
In response to the difficulty of monitoring the stability of open-pit mine slopes,a technical solution based on unmanned aerial vehicle oblique photogrammetry is proposed.By constructing a three-dimensional model of the mining area,combining digital elevation models and orthophoto analysis,and using improved multi-scale segmentation methods and fuzzy classification theory,accurate identification of landslide areas has been achieved.The experimental results show that this method effectively improves the early identification ability of slope disasters and provides reliable technical support for mine safety production.The research results have verified the applicability and effectiveness of drone technology in monitoring open-pit mine slopes.
作者
胡文强
HU Wen-qiang(Guangdong Huiyu Intelligent Technology Co.,Ltd.Guangzhou Branch,Guangzhou 510000,China)
出处
《世界有色金属》
2025年第22期141-144,共4页
World Nonferrous Metals
关键词
倾斜摄影测量
矿区
滑坡
灾害
Oblique photogrammetry
Mining area
Landslide
disaster
