| 基于决策树的机载LiDAR点云数据分类 |
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| 引用本文： | 杜娜娜,彭军还.基于决策树的机载LiDAR点云数据分类[J].测绘科学,2013,38(3). |
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| 作者姓名： | 杜娜娜 彭军还 |
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| 作者单位： | 1. 中国地质大学土地科学技术学院,北京100083;北京拓维思科技有限公司,北京100081
2. 北京拓维思科技有限公司,北京,100081 |
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| 摘 要： | 本文采用基于决策树的人工智能方式,通过对点云数据分割、提取分割片轮廓,手动设置地物的约束条件来提取LiDAR点云中的地物。两组实验表明,本文的方法能够成功提取点云数据中的建筑物、车辆等地物;要提高精度,需增加点云密度,因此本文方法适用于较平坦的城镇地区。
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| 关 键 词： | 点云加密 分割片 轮廓线 知识 地物提取 |
Decision-tree-based classification of airborne LiDAR point clouds |
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| Abstract: | This paper adapted the method of artificial intelligence which is based on decision tree to extract features from LiDAR data.The main steps included segmenting,deriving boundary and extracting features by setting parameters manually.In the end,the results of two tests showed that the method could extract building and cars from laser data effectively. |
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| Keywords: | densification of point clouds segment outline knowledge feature extraction |
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