冯义从,岑敏仪,张同刚

• 1:西南交通大学地球科学与环境工程学院
• 2:中国电建成都勘测设计研究院

摘要(Abstract)：

针对车载LiDAR点云进行地面点滤波时,基于常规TIN、坡度等滤波算法不能根据局部地形变化自动调整阈值的问题,该文结合城市点云特征和地形起伏度,提出地形自适应的车载LiDAR点云滤波方法。该方法通过引入地形自适应参数进行区域增长阈值的动态调整,实现地面点、非地面点的自动精确滤波。通过实测数据试验,结果表明该方法可适用于车载LiDAR城市点云中地面点和非地面点的较精确分类,解决低矮浅丘、低矮灌木等地物点不容易正确分类的问题。

关键词(KeyWords)： 车载LiDAR;地形自适应;区域增长;滤波

Abstract:

Keywords:

基金项目(Foundation): 教育部创新团队资助项目(IRT13092);; 中央高校基本科研业务费专项资金科技创新项目(2682013CX008)

作者(Author): 冯义从,岑敏仪,张同刚

DOI: 10.16251/j.cnki.1009-2307.2015.10.028

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