中国防汛抗旱Issue(5)：67-71,96,6.
基于无人机载激光雷达数据的建筑物自动提取算法
Automatic extraction algorithm for buildings based on UAV lidar data
摘要
Abstract
Airborne-lidar faces chal enges to process large amount of scattered point cloud data and classification. This paper introduces an automatic classification algorithm of LiDAR point cloud data processing, which could automatical y classify the ground data, vegetation data, as wel as extract data for the contour of buildings and center point coordinates according to extracted building point cloud data. The algorithm based on the incremental triangulation of the point cloud data filtering algorithm to separate the data of ground points, and considering the anisotropy of the normal vector of vegetation data, taking FCM fuzzy clustering method to separate the data of vegetation and buildings. After classification building point cloud, the outline and center point for each building were identified using topological clustering method. The algorithm was applied to flash floods disaster in smal watershed in Luanchuan County to extract locations and heights of residential buildings. The results show that the method can process data rapidly with high precision; therefore it is suitable for extracting date from building and surface vegetation classification in hil y areas.关键词
LiDAR数据/地面点云提取/植被过滤/建筑物提取/中心点提取Key words
lidar data/ground point extraction/surface vegetation filtration/building extraction/center point/extraction分类
天文与地球科学引用本文复制引用
唐学哲,刘昌军,胡小青,王超..基于无人机载激光雷达数据的建筑物自动提取算法[J].中国防汛抗旱,2015,(5):67-71,96,6.基金项目
全国山洪灾害调查评价无人机遥感技术应用示范项目（1261430112001）；山西省煤矿采空区特殊下垫面的下渗机制研究及采空区产汇流成果应用项目；河南省山洪动态预警关键技术研究与应用项目；北京市小流域暴雨洪水规律及预警指标研究项目。 （）
