基于地面激光扫描和无人机数据建立矿山工业场地三维模型的研究

C. Le, Cuong Xuan Cao, SongMei Tong, H. V. Dinh
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引用次数: 0

摘要

近年来,包括采矿在内的许多领域正在建立三维(3D)模型。这些产品通常用于开发智能矿山数据库,可用于地下煤矿的生产管理。无人机(UAV)和地面激光扫描(TLS)技术被称为快速、准确采集三维点云(PC)数据的两种主要技术。本文介绍了将无人机照片生成的三维点云与TLS相结合,建立Nui Beo地下煤矿+35 m地面植物的详细三维模型。为了收集数据,使用大疆幻影4高级无人机拍摄了三种模式:拍摄角度为900,拍摄角度为450的3D网格,拍摄角度为450和600的圆形飞行轨道。一架Faro Focus3D X130激光扫描仪用于扫描矿井塔以填补UAV的缺失点云。以徕卡TS09全站仪测量的控制点为基础,采用迭代最近点(ICP)算法进行融合,对两种方法建立的PC进行精度评价。集成的PC满足CityGML标准中建立研究区域三维模型的精度要求,细节级别为3。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research to establish 3D model of mine industrial site area from terrestrial laser scanning and Unmanned aerial vehicle data
In recent years, three-dimensional (3D) models are being built in many fields including mining. These products are often used to develop a database of smart mines which in terms can be used in the management of production in underground coal mines. Unmanned aerial vehicle (UAV) and terrestrial laser scanning (TLS) technologies are known as the two main technologies that quickly and accurately collect 3D point cloud (PC) data. This article presents the integration of a 3D point cloud produced from UAV photos and TLS to build a detailed 3D model for the ground plant at the level of +35 m in the Nui Beo underground coal mine. To collect data, a DJI Phantom 4 Advanced drone was used to take photos in three modes: a shot angle of 900, a 3D grid with a 450 angle, and a circular flight orbit with 450 and 600 shooting angles. A Faro Focus3D X130 laser scanner was used for scanning the mine shaft’s tower to fill the missing point cloud of the UAV. The PC established by both methods was evaluated for accuracy based on the control points measured by a Leica TS09 total station, which was merged by the Iterative Closest Point (ICP) algorithm. The integrated PC met the accuracy requirement of establishing a 3D model of the study area with the level of detail 3 in the CityGML standard.
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