扇形划分的地面激光扫描地形点云数据化简OA北大核心CSTPCD
Terrestrial Laser Scanner Point Cloud Simplification with Sector Division
针对地面激光扫描仪获取的点云数据具有数据量大、冗余数据多、分布不均匀的特点,提出了一种基于扇形划分的地面激光扫描点云数据化简方法.首先根据设定的初始扇形块半径和弧长计算整个点云范围内的扇形块参数；然后再将点云按坐标分配到相应的扇形块中；最后对每个扇形块中的点采用相应的计算方法得到化筒后的点云.实验证明,该算法能够较好地适应地面激光扫描点云数据的特点.采用最低点法能同时实现滤波和化筒,采用重心法能保持点云细节特征.
Concerning terrain point cloud obtained by terrestrial laser scanner generally was a large amount, contained many redundancy data, and its distributing was asymmetry, a sector division point cloud simplification was proposed. First, sectors parameters were calculated with primary defined sector radius and arc length, then each point was distributed to different sectors by their coordinates. Every point was judged by practicality requirements. The experimenta…查看全部>>
王勇;张建军;郭杰;智军
信息工程大学测绘学院,河南郑州45005292768部队,广东汕头515074信息工程大学测绘学院,河南郑州450052解放军理工大学工程兵工程学院,江苏南京210007
天文与地球科学
地面激光扫描点云化简扇形划分点云滤波地形测量
terrestrial laser scanpoint cloud simplificationsector divisionpoint cloud filteringtopography survey
《测绘科学技术学报》 2011 (5)
333-337,5
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