| 基于实体化的地面点云建模技术 |
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| 引用本文： | 江恒彪.基于实体化的地面点云建模技术[J].测绘工程,2014(7):30-33. |
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| 作者姓名： | 江恒彪 |
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| 作者单位： | [1]茂名市特聘人才管理中心,广东茂名525000; [2]茂名市国土资源勘探测绘院,广东茂名525000 |
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| 摘 要： | 地面三维激光扫描点云密集,实体信息隐含,特征提取困难。根据原始点云数据的特点,提出对点云进行实体化处理,种子点生成技术可用于实体提取。完成点云实体化后,通过随机采样一致算法结合稳健估计方法,可更好地进行地物特征提取。由于现实客观世界的复杂性,采用一些先验性知识,可以减少人工处理过程,加快点云分类和实体建模速度。
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| 关 键 词： | 点云 实体化 模型拟合 RANSAC 特征提取 |
A modeling technique of point cloud based on entity-classification |
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| JIANG Heng-biao.A modeling technique of point cloud based on entity-classification[J].Engineering of Surveying and Mapping,2014(7):30-33. |
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| Authors: | JIANG Heng-biao |
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| Institution: | JIANG Heng-biao (1. Maoming City Distinguished Talent Management Center,Maoming 525000, China; 2. Maoming Mapping Institute of I.and and Resources, Maoming 525000, China) |
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| Abstract: | It＇s difficult to extract the feature from 3D terrestrial laser scanning point cloud because the data is mass and geographic entity information is implied. Based on the characteristics classifying the point cloud into entity is proposed with seed-grown method first. After classification and layering, RANSAC algorithm and robust modeling method can be used to extract the object feature. As for the complexity of the objective world, the use of some prior knowledge can reduce the manual processing time when classification and modeling are done. |
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| Keywords: | point cloud entity-classified modeling RANSAC feature extraction |
| 本文献已被 CNKI 维普 等数据库收录！ |
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