| 三维有限元分析的LIDAR点云噪声剔除算法 |
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| 引用本文： | 左志权,张祖勋,张剑清.三维有限元分析的LIDAR点云噪声剔除算法[J].遥感学报,2012,16(2):297-309. |
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| 作者姓名： | 左志权 张祖勋 张剑清 |
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| 作者单位： | 武汉大学 遥感信息工程学院, 湖北 武汉 430079;武汉大学 遥感信息工程学院, 湖北 武汉 430079;武汉大学 遥感信息工程学院, 湖北 武汉 430079 |
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| 基金项目： | 国家自然科学基金项目(编号:41071293) |
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| 摘 要： | 提出一种基于三维有限元分析的LIDAR点云典型噪声剔除算法。该算法首先采用空间六面体模型对原始LIDAR点云进行有限单元剖分;其次依据基于邻接关系的推理规则进行噪声单元与非噪声单元聚类;最后进一步选择更精细剖分阈值迭代剔除低矮噪声。采用国际主流机载LIDAR系统所获取的点云数据进行相关算法对比实验,结果表明三维有限元分析剔噪算法具有更好效果。
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| 关 键 词： | LIDAR 空间分布 有限元分析 三角网 信噪比 |
| 收稿时间： | 2010/12/22 0:00:00 |
| 修稿时间： | 2011/4/22 0:00:00 |
Noise Removal Algorithm of LIDAR Point Clouds Based on 3DFinite-element Analysis |
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| ZUO Zhiquan,ZHANG Zuxun and ZHANG Jianqing.Noise Removal Algorithm of LIDAR Point Clouds Based on 3DFinite-element Analysis[J].Journal of Remote Sensing,2012,16(2):297-309. |
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| Authors: | ZUO Zhiquan ZHANG Zuxun and ZHANG Jianqing |
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| Institution: | School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China;School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China;School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China |
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| Abstract: | According to analysis of the limitations of traditional algorithms, such as local points fitting and frequency domainsignal analysis, a typical noise removalremoval algorithm of LIDAR point clouds based on 3 D finite-element analysis is proposed.Firstly, point clouds is partitioned into smaller and similar units by finite elements named space hexahedron model. Andthen, all of the units are classified into noise units or non-noise units with adjacency-based reasoning rules. Finally, the lownoise is removed by iterative processing with finer threshold. In this approach, we did experiments with a real strip data whichis obtained by an international mainstream system. The result shows that finite-element analysis has good performance in noiseremoval.soil dielectric constant, organic matter, humus, microwave remote sensing |
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| Keywords: | LIDAR space distribution finite-element analysis triangular mesh SNR |
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