Airborne lidar point cloud filtering is the key of acquiring DSM and DEM with high precision.
机载激光点云数据滤波是获取高精度数字表面模型和数字高程模型的关键。
It gets the intentionally conclusions from analysing the accuracy of point cloud data with the different filtering methods, the different point cloud density, the different terrain conditions.
最终结果便是以上述不同滤波方法、不同点云密度、不同地形条件的组合进行分析,并得出有意的结论。
As a key of airborne laser data processing, the filtering of point cloud has been an important prerequisite and research focus of data applications.
作为机载激光雷达数据处理的关键环节,激光雷达点云滤波一直是数据应用的重要前提和研究热点。
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