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Continuous coastal monitoring using UAV photogrammetry

机译:使用无人机摄影术进行连续海岸监视

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The purpose of this study is to collect ortho-images and point clouds acquired from UAVs in February and May tocomprehensively assess whether they are suitable for time series offshore monitoring, such as volume change calculationand shoreline extraction. In February and May, UAV photogrammetry was performed at an altitude of 100 m usingZenmuse7 of Inspire-2 for the research area, and 245 chapters and 240 chapters were collected in ground sample resistance(GSD) 1.59 cm and 1.62 cm respectively. We obtained 40 and 21 ground control points (GCPs) that will be used for UAVphotogrammetry and TLS surveying by using RTK-GNSS. The collected UAV images were treated as Pix4D mappersoftware. As a result, we deployed each point cloud and ortho-images in February and May. Image processing showed thatthe root mean square error (RMSE) in February was 0.015, 0.017, 0.040 m (x, y, z), and in May was 0.018, 0.015, and0.035 (x, y, z).To verify accuracy, point clouds data collected with TLS surveying were collected. Using TLS point cloudsand UAV point clouds (Feb, May), each DEM was deployed and the volume was calculated. In addition, a physical crosssectionanalysis was performed using 2 lines at the deployed TLS DEM, UAV DEM (2, 5 month). Finally, the coastlinefor the Imlang beach was extracted by applying the object based image segmentation technique obtained from UAV.
机译:这项研究的目的是收集从2月和5月从无人机获得的正射影像和点云。 全面评估它们是否适合于时间序列海上监测,例如流量变化计算 和海岸线提取。在2月和5月,无人机摄影测量是在100 m的高空进行的, Inspire-2的Zenmuse7用于研究区域,收集了245章和240章的接地样本电阻 (GSD)分别为1.59厘米和1.62厘米。我们获得了40和21个用于无人机的地面控制点(GCP) 使用RTK-GNSS进行摄影测量和TLS测量。收集的无人机图像被视为Pix4D映射器 软件。结果,我们在2月和5月部署了每个点云和正像。图像处理表明 2月的均方根误差(RMSE)为0.015、0.017、0.040 m(x,y,z),5月的均方根误差为0.018、0.015和 0.035(x,y,z)。为验证准确性,收集了通过TLS测量收集的点云数据。使用TLS点云 和无人机点云(2月,5月),部署了每个DEM并计算了体积。另外,物理横截面 使用已部署的TLS DEM,UAV DEM(2个,5个月)的2条线进行了分析。最后,海岸线 通过应用从无人机获得的基于对象的图像分割技术,提取了依姆兰海滩的海浪。

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