首页|基于无人机摄影测量的矿区地形三维重建及精度分析

基于无人机摄影测量的矿区地形三维重建及精度分析

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矿区地形三维重建对于矿区地形分析及安全生产具有重要意义.针对传统重建方式存在效率低、数据更新速度慢、成本高等问题,提出了一种基于无人机摄影测量技术的矿区地形三维重建方法.该方法使用无人机进行低空拍摄,利用SIFT特征点匹配算法得到一系列匹配点,利用特征提取、空三测量、多视影像密集匹配技术,生成不规则三角网格和纹理映射,实现对矿区地形三维模型的自动重建.试验结果表明:在足够数量和合理选取地面控制点的情况下,所提方法可以获得较高精度的矿区地形三维重建结果;三维模型重建可以全面呈现矿区地形整体形态和局部细节特征,同时具有高效和低成本等优点.所提方法可为矿区环境保护及相关分析提供更准确、高效、可靠的地形信息数据源和技术支持.
3D Terrain Reconstruction and Accuracy Analysis of Mining Area Based on Unmanned Aerial Vehicle Photogrammetry
The 3D reconstruction of terrain in mining area is of great significance for terrain analysis and production in mining area.The traditional reconstruction method has the problems of low efficiency,slow data updating speed and high cost.A 3D reconstruction method of terrain in mining area based on UAV photogrammetry technology is proposed.In this method,UAV is used for low-altitude shooting,SIFT feature point matching algorithm is used to obtain a series of matching points,and irregular triangular mesh and texture mapping are generated by feature extraction,three-space measurement and multi-view im-age intensive matching technology to realize automatic reconstruction of the three-dimensional terrain model of mining area.The experimental results show that the proposed method can obtain the 3D reconstruction results of mining area topography with high precision under the condition of sufficient quantity and reasonable selection of ground control points.The reconstruction of the 3D model can fully present the overall shape and local details of the mining terrain,and has the advantages of high efficien-cy and low cost.The proposed method can be described as a more accurate,efficient and reliable topographic information data source and technical support for environmental protection and related analysis in mining areas.

unmanned aerial vehicle photogrammetry3D reconstructionmining terrainSIFT

车巍、杨秋翔

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山西职业技术学院电子与通信工程系,山西太原 030002

中北大学研究生院,山西太原 030000

无人机摄影测量 三维重建 矿区地形 SIFT

山西省教育科学"十四五"规划2021年度课题

GH-21423

2024

金属矿山
中钢集团马鞍山矿山研究院 中国金属学会

金属矿山

CSTPCD北大核心
影响因子:0.935
ISSN:1001-1250
年,卷(期):2024.(9)