机载点云数据精细化处理与大比例尺地形图测绘应用研究

Research on the Fine Processing of Airborne Point Cloud Data and the Application of Large-scale Topographic Map Surveying and Mapping

为探究精细化机载点云数据在大比例尺地形图测绘中的应用效益,提高基于机载点云数据绘制数字地形图的精度,选取了建模难度较大的带状地形作为测区,并获取了点云模型。使用Li DAR 360软件对点云数据进行精细化预处理,提高了点云模型的地面拟合度。结合点云模型与三维实景模型绘制1∶500的大比例尺地形图,并根据GPS-RTK获取的100个校核点对地形图精度进行了分析。研究结果表明:采用模型质量和测绘专项需求精细化处理方法可提高点云模型的地面拟合度,且绘制的地形图满足1∶500大比例尺地形图的绘制要求。

In order to explore the application benefits of refined airborne point cloud data in large-scale topographic mapping and improve the accuracy of drawing digital topographic maps based on airborne point cloud data,a strip terrain with big modeling difficulty was selected as the measurement area to obtain a point cloud model.The point cloud data had been fine-grained preprocessed by of LiDAR 360 software to improve the ground fitting of point cloud models.A large-scale topographic map with a scale of 1∶500 was drawn by point cloud models and 3D real-life models.The accuracy of the topographic map was analyzed based on 100 verification points obtained from GPS-RTK.The research results indicate that the use of model quality and precise processing methods for surveying and mapping can improve the ground fitting of point cloud models,and the drawn topographic maps meet the requirements of 1∶500 large-scale topographic maps.