基于无人机的土方工程体积半自动估算系统的研制

IF 0.3 Q4 REMOTE SENSING Reports on Geodesy and Geoinformatics Pub Date : 2020-12-01 DOI:10.2478/rgg-2020-0008
O. G. Ajayi, Timothy O. Oyeboade, Hassan A. Samaila-Ija, T. J. Adewale
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引用次数: 4

摘要

测量人员在获取精确的空间数据时面临的挑战之一是在崎岖地形和困难或难以进入的区域获取数据所涉及的风险。随着现代技术的出现,现在可以安全地获得准确的地理空间数据,以便定期进行适当的挖掘文档。在矿山测量中使用无人机进行数据采集已成为一种快速有效地获取可靠地理空间数据的可行手段。本研究的主要目标是开发一种基于无人机的半自动系统,用于获取估算土方工程体积所需的空间数据。采用大疆Phantom 4四轴飞行器采集项目现场影像数据,使用Pix4Dmapper v2.0.1将影像处理成数字高程模型(Digital Elevation Model, DEM),然后导入基于matlab开发的土方体积自动估算系统。因此,将自动化系统获得的体积与直接从Pix4Dmapper软件获得的体积进行比较,指定等高线间隔为1,允许错误率为±3%作为标准误差。虽然使用Pix4Dmapper估计的体积误差为±1.02%,但开发的自动化系统在体积估计中获得了±0.81%的估计精度,这证明了在精度和精度方面对自动体积估计更具鲁棒性。
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Development of a UAV-based system for the semi-automatic estimation of the volume of earthworks
Abstract One of the challenges faced by surveyors in acquisition of accurate spatial data for mining applications is the risk involved in acquiring data in rugged terrains and difficult or inaccessible areas. With the advent of modern technology, accurate geospatial data can now be safely obtained for proper mining documentation periodically. The use of Unmanned Aerial Vehicles (UAVs) for data acquisition in mine surveying has been a viable means of obtaining reliable geospatial data rapidly and efficiently. The main goal of this study is to develop a semi-automatic UAV-based system for the acquisition of spatial data required for the estimation of the volume of earthworks. A DJI Phantom 4 quadcopter was used for the acquisition of image data of the project site, while the images were processed into a Digital Elevation Model (DEM) using Pix4Dmapper v2.0.1, which was then imported into the MATLAB-based system developed for the automatic estimation of the volume of earthworks. The volume obtained from the automated system was thus compared with the volume obtained directly from the Pix4Dmapper software, having specified a contour interval of 1 and an allowable error rate of ±3% as the standard error. While ±1.02% error was observed in the volume estimated using the Pix4Dmapper, the developed automated system yielded an estimated precision of ±0.81% in its volume estimation, which proves to be more robust for automatic volume estimation in terms of accuracy and precision.
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来源期刊
自引率
28.60%
发文量
5
审稿时长
12 weeks
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