| 一种基于非均匀网格的点云数据缩减算法 |
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| 引用本文： | 程效军,李巧丽.一种基于非均匀网格的点云数据缩减算法[J].遥感信息,2011(2):102-105. |
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| 作者姓名： | 程效军 李巧丽 |
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| 作者单位： | 1. 同济大学测量与国土信息工程系,上海,200092;现代工程测量国家测绘局重点实验室,上海,200092
2. 福建省计量科学研究院,福州,350003 |
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| 摘 要： | 针对点云数据量大的特点,提出了基于非均匀网格的点云数据缩减算法。采用球面投影的方法建立规则网格,以网格内部点的法矢的标准差作为网格细分的依据,用中值滤波的方法确定每个网格内的保留点,通过实验验证了该算法的可行性,并取得了良好的效果。
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| 关 键 词： | 点云缩减 法矢 球面投影 中值滤波 |
An Algorithm of Point Cloud Data Reduction Based on Asymmetric Gridding |
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| CHENG Xiao-jun,LI Qiao-li.An Algorithm of Point Cloud Data Reduction Based on Asymmetric Gridding[J].Remote Sensing Information,2011(2):102-105. |
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| Authors: | CHENG Xiao-jun LI Qiao-li |
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| Affiliation: | (① Department of Surveying and Geomatics,Tongji University,Shanghai 200092;② Fujian Metrology Institute,FuZhou 350003;③ Key Laboratory of Advanced Engineering Survey of SBSM,Shanghai 200092) |
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| Abstract: | This paper proposes an algorithm of data reduction based on asymmetric gridding in connection with the vast amount of point data.At first,a symmetric grid is built by spherical projection,and the standard deviation is used as base to determine whether the grid is divided or not.Then one point in every grid is kept down by median filtering.At last,this algorithm is validated and proved well by experiments. |
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| Keywords: | point cloud data reduction normal vector spherical surface projection median filtering |
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