Investigating the Length, Area and Volume Measurement Accuracy in UAV-Based Oblique Photogrammetry Models produced with and without Ground Control Points

IF 3.1 Q2 ENGINEERING, GEOLOGICAL International Journal of Engineering and Geosciences Pub Date : 2021-04-09 DOI:10.21203/RS.3.RS-396298/V1
E. Maraş, M. Nasery
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引用次数: 5

Abstract

This study was aimed to investigate the performance and sensitivity of a 3D photogrammetric model generated without GCPs (Ground Control Points). To see if the models with no GCPs show the accuracy in every types of terrain as well as climate or metrological conditions, two separate studies are done in two areas with different characteristics such as Altitude, slope, topography, and meteorological varieties. The study areas were initially modelled with GCPs and later without GCPs. Furthermore, some of the dimensions and areas within the modelled area were measured using terrestrial techniques (with GPS/GNSS) for accuracy analysis. After modelling within the areas with and without GCPs, different territories with different slope and geometric shapes were selected. Various measurement in terms of length, area and volume carried out over the selected territories within both model (generated with and without GCPs) of each 2 studies. The datasets obtained as results of measurements were compared to each other and the measurements carried out over the models produced with GCPs were accepted as true values. Results from length measurement provided various level of success. First study area exhibited very promising results in length measurement with a relative error of less than 1% and RMSE (Root Mean Square Error) of 0.139m. In the case of area measurement, in the first study area (Sivas), a minimum relative error of 0.04% and a maximum relative error of 1.05% with a RMSE of 1.264 m² is obtained. In the second study areas (Artvin) for area measurement a minimum relative error of 0.56% and a maximum relative error of 5.27% with a RMSE of 1.76m² is achieved. And finally, in the case of volume measurement, for fist study area (Sivas) a minimum relative error of 0.8% and a maximum relative error of 6.8% as well as 2.301 m³ is calculated. For second study area (Artvin) minimum relative error for volume measurement is 0.502% as well as maximum relative error is 2.01% with a 7.061m³ RMSE.
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有地面控制点和无地面控制点的无人机倾斜摄影测量模型的长度、面积和体积测量精度研究
本研究旨在研究在没有地面控制点的情况下生成的三维摄影测量模型的性能和灵敏度。为了了解没有GCP的模型是否在每种类型的地形以及气候或计量条件下都能显示出准确性,在海拔、坡度、地形和气象品种等不同特征的两个区域进行了两项单独的研究。研究区域最初采用GCP建模,后来不采用GCP。此外,为了进行精度分析,使用地面技术(使用全球定位系统/全球导航卫星系统)测量了建模区域内的一些尺寸和面积。在有和没有GCP的区域内建模后,选择了具有不同坡度和几何形状的不同区域。在每2项研究的两个模型(使用和不使用GCP生成)中,在选定区域进行的长度、面积和体积方面的各种测量。将作为测量结果获得的数据集相互比较,并将对使用GCP生成的模型进行的测量视为真实值。长度测量的结果提供了不同程度的成功。第一个研究区域在长度测量方面表现出非常有希望的结果,相对误差小于1%,均方根误差为0.139m。在面积测量的情况下,在第一个研究区(Sivas)中,最小相对误差为0.04%,最大相对误差为1.05%,均方根偏差为1.264m²。在面积测量的第二个研究区域(Artvin)中,最小相对误差为0.56%,最大相对误差为5.27%,RMSE为1.76m²。最后,在体积测量的情况下,第一个研究区域(Sivas)的最小相对误差为0.8%,最大相对误差为6.8%,以及2.301 m³。对于第二个研究区域(Artvin),体积测量的最小相对误差为0.502%,最大相对误差为2.01%,RMSE为7.061m³。
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来源期刊
CiteScore
4.00
自引率
0.00%
发文量
12
审稿时长
30 weeks
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