基于语义推理的城区机载LiDAR分割点云分类A classification method for segmented point clouds in urban areas based on semantic reasoning
林祥国,宗浩
摘要(Abstract):
目前,机载LiDAR系统获取的点云数据具有多回波的特性,回波特性可以揭示地物的类型信息。本文在排除粗差、首次回波和中间次回波后,对单次回波和尾次回波形成的点云子集进行基于3DHough变换分割和滤波处理以区分地面点和非地面点(包括墙面点),然后合并首次回波、中间次回波和非地面点再次进行点云分割,利用分割面片的尺寸大小、单次回波激光脚点比例、首次回波和中间次回波激光脚点比例等三个指标区分建筑物激光脚点和植被激光脚点。实验证明,上述方法可以很好地将点云数据分类为墙面点、地面点、建筑物点和植被点。
关键词(KeyWords): 机载LiDAR;多回波;点云分割;点云分类
基金项目(Foundation): 国家自然科学基金(41371405);; 中国博士后基金(2010047038);; 对地观测技术国家测绘局重点实验室开放基金(K201003)
作者(Author): 林祥国,宗浩
DOI: 10.16251/j.cnki.1009-2307.2014.01.009
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