UAS images and generated point-cloud model of a concrete bridge in Corvallis, OR

This dataset includes three parts: (1) 1247 high-resolution images (collected by UAS, in DNG format ) of three spans of a concrete bridge, they are stored in 20 zip files considering the file size limit; (2) locations of 12 ground control points and 15 visual targets attached to the bridge surface in world coordinates (in TXT format); and (3) a point-cloud model (in LAS format; 8,926,909 points with a mean error estimate of the targets of 0.0408 m) of the bridge based on the UAS images.本数据集包含三个组成部分：(1) 由无人机系统（UAS，Unmanned Aerial System）采集的某混凝土桥梁三个桥段的1247幅高分辨率DNG格式图像；受文件大小限制，该批图像被打包为20个ZIP压缩文件存储。(2) 以世界坐标系标注的12个地面控制点与15个附着于桥梁表面的视觉靶标的位置信息，存储为TXT格式。(3) 基于上述无人机系统采集的图像构建的桥梁点云模型，采用LAS格式存储，共包含8926909个点，靶标平均误差估计值为0.0408米。