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Assessing the Accuracy of Unmanned Aerial Vehicles Photogrammetric Survey

机译:评估无人驾驶飞行器摄影测量调查的准确性

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Unmanned Aerial Vehicles (UAVs) have seen an increase in use on terrain mapping, especially in lieu of manual surveying methods. This study will evaluate the accuracy that can be achieved using a commercially available UAV and Structure-from-Motion (SfM) software. Photogrammetric data were captured with a UAV at three elevations three separate times. Sixteen aerial targets were located by a surveyor and used to geo-reference the models. Absolute accuracy was principally evaluated by measuring the distance between the computed location and the location determined by the surveyors. The study found that the most accurate survey conducted had a horizontal error of 0.88 cm (0.029 ft) and a vertical error of 0.38 cm (0.012 ft). The study also found that there was very little statistically significant difference in accuracy between surveys created with images captured from flights at the same altitude. An additional experiment conducted evaluated what the optimal number of ground control points was to yield the most accurate results. The study found that with a 7,500 m~2 (82,500 sq. ft) site that there were significant improvements to the survey when three ground control points (GCPs) were included but only marginal improvements when four or more GCPs were added.
机译:无人驾驶飞行器(无人机)已经看到了在地形映射上使用的增加,特别是代替手动测量方法。本研究将评估使用市售的无人机和结构 - 来自运动(SFM)软件可以实现的准确性。摄影测量数据在三个升高三个单独的时间内使用无人机捕获。验船师的十六个空中目标是由验船师提供的,用于地理参考模型。通过测量计算的位置与测量师确定的位置之间的距离来评估绝对精度。该研究发现,进行的最准确的调查水平误差为0.88厘米(0.029英尺),垂直误差为0.38厘米(0.012英尺)。该研究还发现,使用在相同高度的飞行中捕获的图像产生的调查之间的准确性差异很大。进行了另外的实验,评估了地面控制点的最佳数量是产生最准确的结果。该研究发现,当包括三个地面控制点(GCP)但仅在加入四个或更多GCP时,延长了三个地面控制点(GCP),则对调查有显着改善。

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