Accuracy Assessment for Geometric Features Extraction from Multirotor UAV's Images

Mohammed AL-Qadri, Jian Cheng
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Abstract

The use of the new technology Unmanned Aerial Vehicle (UAVs) is overgrowing across many application fields, including engineering surveys, terrain mapping, or generating 3D models. Accuracy assessment for object extraction from UAV images is critical for a large number of applications and plays an essential role in ensuring its quality. This study aims to assess the accuracy of geometric features that can be acquired with low-cost multirotor UAV. In this study, the UAV used to capture the ground at different altitudes, as the accuracy is influenced by flight height---the data processed by using photogrammetric software, which is based on structure from motion. The accuracy assessment is conducted by comparing the estimated results with those obtained via field measurements. It was found that high altitude gives a better result as compared to low altitude. In conclusion, this study demonstrates the feasibility of using high accuracy UAV's image to provide data for geometric design with reliable accuracy.
多旋翼无人机图像几何特征提取精度评价
在许多应用领域,包括工程测量、地形测绘或生成3D模型,无人驾驶飞行器(uav)新技术的使用正在过度增长。无人机图像目标提取的精度评估是大量应用的关键,对保证图像质量起着至关重要的作用。本研究旨在评估低成本多旋翼无人机所能获取的几何特征的精度。在本研究中,无人机用于捕获不同高度的地面,因为精度受到飞行高度的影响-使用摄影测量软件处理的数据,基于运动结构。通过将估计结果与现场测量结果进行比较,对精度进行了评估。研究发现,高海拔比低海拔的效果更好。综上所述,本研究证明了利用高精度无人机图像以可靠的精度为几何设计提供数据的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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