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选择新疆焉耆县北大渠乡北大渠村房屋密集区作为研究区,通过三角翼搭载轻型机载LiDAR进行了低空(170 m)交叉航线高密度点云数据采集,对点云数据进行拼接、校正、纹理信息增强,在点云上对房屋进行矢量化,并对结果进行精度检查。点云数据房角点采集率为83.3%,中误差为4.8 cm。采用机载LiDAR测量房角点能够大大减少外业房角点测量的工作量。机载LiDAR的应用鲜有纹理信息的提取,本次测试通过对高密度点云数据进行有效的处理,提取了点云数据纹理信息,为机载LiDAR数据纹理信息的应用提供了参考,并对其精度有了明确的认识,可为后期相关工作的开展提供借鉴。
This paper chooses the residential area of Beidazutan Village, Beidasu Township, Yanqi County, Xinjiang as the research area. Through the light wing-mounted LiDAR on the delta wing, the high-density point cloud data acquisition at the low altitude (170 m) The texture information is enhanced, the house is vectorized on the point cloud, and the results are checked for accuracy. Point cloud data collection point rate was 83.3%, with a median error of 4.8 cm. Using the on-board LiDAR to measure the corner point can greatly reduce the workload of the corner point measurement in the field house. Application of Airborne LiDAR With little texture information extraction, this test effectively extracted high-density point cloud data and extracted the point cloud data texture information, which provides a reference for the application of airborne LiDAR data texture information. Its accuracy has a clear understanding of the work for the late to provide reference.