利用配备非测量摄像机的无人飞行器(UAV)的图像对UTPR-DV 建筑区进行几何评估

IF 2.3 Q2 REMOTE SENSING Applied Geomatics Pub Date : 2024-02-10 DOI:10.1007/s12518-024-00551-0
Raoni Wainer Duarte Bosquilia, Gabriela Oliveira Silva, Maria Madalena Santos da Silva
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引用次数: 0

摘要

如今,随着无人飞行器(UAVs)使用的增加,小面积航空摄影已成为地形测量或卫星图像分析等传统数据测量的可行替代方法,这主要归功于其较高的空间和时间分辨率。因此,这项工作的目的是评估和比较使用全站仪在实地对巴西多伊斯维津霍斯校园建筑区进行的勘测,以及使用非测量相机从无人机上获得的正射影像图,两种方法都使用了地面上的地理坐标控制点。分析表明,这些方法获得的区域之间具有很高的相关性,误差在很多情况下都是可以接受的,如皮尔逊相关系数为 0.9991,相对误差为 2.23432%,证明是此类勘测的有效工具。因此,这项工作得出结论,使用非度量照相机可以从无人机正射影像图中勘测建筑区,与传统的实地地形勘测相比,所需的设备更少,可以在更短的时间内获得数据。
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Geometrical evaluation of the UTFPR-DV building area using images of an unmanned aerial vehicle (UAV) with non-metric camera

Nowadays, with the increase in the use of unmanned aerial vehicles (UAVs), small-area aerial photography has become a viable alternative to traditional data surveys, such as topography or satellite imagery analysis, mainly due to its high spatial and temporal resolution. Thus, the objective of this work was to evaluate and compare the survey of the built area of the UTFPR – Dois Vizinhos Campus, Brazil, conducted in the field using total station, with an orthomosaic obtained from a UAV using non-metric camera, with both methods using georeferenced control points in the ground. The analyses showed that there was a high correlation between the areas obtained by these methodologies, with an acceptable error for many purposes, as shown by the Pearson correlation coefficient of 0.9991 and the relative error of 2.23432%, proving to be an effective tool for such surveys. Thus, this work concluded that it is possible to survey the built area from a UAV orthomosaic using a non-metric camera, which required less equipment and allowed to obtain the data in a shorter time when compared to a classical topography survey on the field.

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来源期刊
Applied Geomatics
Applied Geomatics REMOTE SENSING-
CiteScore
5.40
自引率
3.70%
发文量
61
期刊介绍: Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements
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