摘要
提出了一种基于蚁群算法的地面激光扫描数据建筑物立面提取方法,该方法可以有效地区分沿街LiDAR扫描景观数据中建筑物立面和位于其前方的树木、街灯、行人、停靠车辆等遮挡物。三组真实的地面激光点云的实验结果表明,该方法能准确、有效地提取建筑物立面点云数据。
We present an automatic building facade extraction approach based on terrestrial laser scanning points,which effectively use the ant colony algorithm to remove the occlusions and get rid of the error points caused by windows.The method is tested with terrestrial point clouds of three different street scenes.The results show that the method is effective.
出处
《武汉大学学报(信息科学版)》
EI
CSCD
北大核心
2012年第11期1307-1310,共4页
Geomatics and Information Science of Wuhan University
基金
国家科技支撑计划资助项目(2011BAH12B06-02)
关键词
地面激光扫描
蚁群算法
建筑立面提取
terrestrial laser scanning
ant colony algorithm
building facade extraction