| 顾及激光反射率的点云数据分割算法研究 |
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| 引用本文： | 叶珉吕,花向红.顾及激光反射率的点云数据分割算法研究[J].城市勘测,2014(6):21-23. |
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| 作者姓名： | 叶珉吕 花向红 |
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| 作者单位： | 1. 佛山市城市规划勘测设计研究院,广东佛山,528000
2. 武汉大学测绘学院,湖北武汉,430079 |
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| 摘 要： | 点云数据分割是三维模型重建的关键环节,传统的基于模糊C均值聚类（FCM）的点云数据分割算法在规则物体细节的分割上具有一定的局限性。针对此问题,在传统算法的基础上,增加了激光反射率信息,提出了顾及激光反射率的分割算法。通过实例验证,该算法具有较高的可行性和普遍适用性,分类结果较为可靠。
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| 关 键 词： | 点云数据 分割算法 激光反射率 FCM 三维模型 |
Research on Segmentation Algorithm considering Laser Reflectance for Point Cloud Data |
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| Ye Minlv,Hua Xianghong.Research on Segmentation Algorithm considering Laser Reflectance for Point Cloud Data[J].Urban Geotechnical Investigation & Surveying,2014(6):21-23. |
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| Authors: | Ye Minlv Hua Xianghong |
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| Affiliation: | Ye Minlv, Hua Xianghong ( 1. Foshan Urban Plan,,ing Design and Surveying Research Instilute, Foshan 528000,China; 2. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China) |
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| Abstract: | Segmentation algorithm for point cloud data is the key to the reconstruction of 3D model,the traditional segmentation algorithm based on fuzzy c- means algorithm has limitation on the segmentation of the regular object＇s details. For this problem,on the basis of the traditional algorithm,the thesis adds the laser reflectance information to the algorithm and proposes a new segmentation algorithm considering laser reflectance. Verified by the examples,it is indicating that the new segmentation algorithm is more feasible and effective,its results are more reliable. |
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| Keywords: | point cloud data segmentation algorithm laser reflectance fuzzy c-means algorithm 3D model |
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