【摘要】 为了提高激光扫描数据的后处理速度和显示效率,采用了并行化阈值分割构建八叉树结构、对海量点云进行分块处理的方法。基于高差的数据抽稀方法,逐层精简八叉树叶节点中的数据,保存在八叉树外存结构中,构建点云多分辨率细节层次模型。采用视点变化与分页数据库结合的内外存调度策略,对一组电力巡线直升机获取的激光扫描点云数据进行实验验证。结果表明,该方法在八叉树构建速度和海量点云数据显示效率上的优越性,可以很好地满足电力巡线的时效性需求。更多还原

【Abstract】 In order to improve the processing speed and display efficiency of laser scanning data, octree structure was constructed by parallel threshold segmentation and massive point clouds were processed in blocks. The data in octree leaf nodes was simplified by data thinning method based on height difference layer by layer and was stored in octree external memory structure. The multi-resolution level of detail model of point cloud was constructed. The internal and external memory scheduling strategy based on view change and paging database was adopted. The laser scanning point cloud data acquired by a group of power line patrol helicopters were experimentally validated. The results show that this method has advantages of octree construction speed and display efficiency of large amount of point cloud data. It can satisfy the timeliness requirement of power line patrol very well.更多还原