基于TerraScan的机载LiDAR点云数据建筑物提取
Building Extraction from Airborne LiDAR Point Cloud Data Based on TerraScan
王鑫宁1
作者信息
- 1. 黑龙江地理信息工程院,黑龙江哈尔滨 150081
- 折叠
摘要
针对激光雷达点云分类过程中,建筑物点较难准确提取,导致作业困难的问题,本文提出了一种机载Li-DAR点云数据的建筑物提取方法.基于TerraScan实现异常数据剔除、地面滤波、植被分离,完成建筑物提取,并对建筑物提取结果进行精度评价.精度评价结果表明,提取的总误差为2.0851％,Kappa系数为0.91,说明该提取流程方法在建筑物提取方面有较好的应用效果.
Abstract
In the process of LiDAR point cloud classification,it is difficult to extract building points accurately,which leads to diffi-culties in operation. This paper presents a building extraction method for airborne LiDAR point cloud data. Based on TerraScan,ab-normal data removal,ground filtering and vegetation separation are realized to complete building extraction,and the accuracy of build-ing extraction results is evaluated. The accuracy evaluation results show that the total error of extraction is 2.0851％,and the kappa coefficient is 0.91,indicating that the extraction process method has good application ability in building extraction.
关键词
机载LiDAR/建筑物提取/TerraScanKey words
airborne LiDAR/building extraction/TerraScan引用本文复制引用
出版年
2024
NETL
NSTL
万方数据