| 基于统计数据选取种子点的LiDAR点云迭代滤波算法 |
| |
| 引用本文： | 王树根,王欢,孙明伟,陈奇,靳卫华,王博.基于统计数据选取种子点的LiDAR点云迭代滤波算法[J].测绘与空间地理信息,2015(6). |
| |
| 作者姓名： | 王树根 王欢 孙明伟 陈奇 靳卫华 王博 |
| |
| 作者单位： | 1. 武汉大学遥感信息工程学院,湖北武汉,430079;2. 中国石油大学 北京 油气资源与探测国家重点实验室,北京,102200 |
| |
| 摘 要： | 经典的渐进三角网滤波算法在LiDAR点云数据处理中应用十分广泛,但其滤波精度很大程度上取决于种子点选取的正确率。本文针对这一问题,在渐进三角网加密算法基础上提出了一种基于小格网高程、均方差和点密度统计数据选取种子点的迭代滤波算法。实验结果表明,本文的迭代滤波算法可有效避免低点等非地面点对种子点选取的干扰,且滤波结果生成的DEM精度较高,具有一定的实用性。
|
| 关 键 词： | LiDAR TIN 种子点 低点 滤波 |
An Iterative Filtering Algorithm of LiDAR Point Clouds Based on Statistical Data Choose Seed Points |
| |
| WANG Shu-gen,WANG Huan,SUN Ming-wei,CHEN Qi,JIN Wei-hua,WANG Bo.An Iterative Filtering Algorithm of LiDAR Point Clouds Based on Statistical Data Choose Seed Points[J].Geomatics & Spatial Information Technology,2015(6). |
| |
| Authors: | WANG Shu-gen WANG Huan SUN Ming-wei CHEN Qi JIN Wei-hua WANG Bo |
| |
| Abstract: | The classical adaptive TIN filtering algorithm is widely adopted in Data processing of LiDAR point clouds ,but the filter ac-curacy largely depends on the accuracy of seed point selection .Aiming to solve this problem , an iterative filtering algorithm of using statistical data of small grid ’ s elevation , Standard Deviation and point density choose seed points is stated in this article based on the classical adaptive TIN filtering algorithm .Experimental results show that the iterative filtering algorithm can effectively avoid the inter -ference of Non ground points such as low point to seed point selections .Also, the DEM that results from filter has a rather high preci-sion and practicality . |
| |
| Keywords: | LiDAR TIN seed points low points filtering |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
