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不同因素对地面三维激光扫描点云精度的影响

Impacts of Different Factors on Accuracy of Point Cloud Obtained from Terrestrial Three-Dimensional Laser Scanning

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摘要

影响地面三维激光扫描点云精度的因素有很多, 它们共同存在且交互影响, 研究各因素及其交互作用对点云数量、点云反射强度和点云标准偏差的影响有利于有效地提高地面点云精度。选择目标物的颜色、粗糙度、距离作为研究对象, 利用多因素方差分析法、多元线性回归分析法, 分析了各因素及其交互作用影响的显著性, 并拟合了点云标准偏差和点云反射强度的回归方程。研究结果表明:目标物距离对点云数量的影响较大, 5 m距离的点云数量约是30 m距离的40倍, 距离与点云数量成反比; 目标物颜色对点云反射强度的影响较大, 白色最大点云强度可达0.54, 而黑色只有0.18, 点云反射强度从大到小为白色、绿色、蓝色、红色、黑色; 目标物距离对地面三维激光扫描点云标准偏差影响最大, 30 m距离的点云标准偏差是5 m距离的3倍左右, 颜色次之, 粗糙度的影响不明显, 点云标准偏差与点云反射强度具有幂函数关系。

Abstract

Many factors affect the accuracy of the point cloud obtained from terrestrial three-dimentional laser scanning. These factors exist together and influence each other. Therefore, it is useful to effectively improve the accuracy of the point cloud by studying the effect of each factor and their interaction on the number, reflection intensity and standard deviation of point cloud. Set the target color, roughness and distance as the study objects. By using multi-factor variance analysis method and multiple linear regression method, the significance of the influence of the various factors and their interactions are analyzed, and regression equations between the standard deviation and reflection intensity of point cloud are fitted. Results show that distance of target object has a significant impact on the number of point cloud. The number of point cloud at 5 m is about forty times as much as the number at 30 m. Distance is inversely proportional to the number of point cloud. Color of target object has a significant impact on the reflection intensity of point cloud. The strongest reflection intensity of point cloud for white is 0.54, and the one for black is 0.18. The reflection intensity of point cloud from strongest to weakest is white, green, blue, red, black. Distance of the target object has greatest impact on the standard deviation of point cloud obtained from terrestrial three-dimensional laser scanning. The standard deviation of point cloud at 30 m is three times as much as the value at 5 m. And color is taken the second place, however the effect of the roughness is not obvious. There is a power function relation between the standard deviation and reflection intensity of point cloud.

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中图分类号:P232

DOI:10.3788/lop54.092801

所属栏目:遥感与传感器

基金项目:国家自然科学基金(41671449, 41401528)

收稿日期:2017-04-14

修改稿日期:2017-04-24

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作者单位    点击查看

蔡越:浙江农林大学省部共建亚热带森林培育国家重点实验室, 浙江 临安 311300
徐文兵:浙江农林大学省部共建亚热带森林培育国家重点实验室, 浙江 临安 311300同济大学测绘与地理信息学院, 上海 200092
梁丹:浙江农林大学省部共建亚热带森林培育国家重点实验室, 浙江 临安 311300
李翀:浙江农林大学省部共建亚热带森林培育国家重点实验室, 浙江 临安 311300北京林业大学林学院, 北京 100083
陈佐:浙江农林大学省部共建亚热带森林培育国家重点实验室, 浙江 临安 311300

联系人作者:蔡越(371927896@qq.com)

备注:蔡越(1992-), 女, 硕士研究生, 主要从事三维激光扫描技术与三维建模等方面的研究。

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引用该论文

Cai Yue,Xu Wenbing,Liang Dan,Li Chong,Chen Zuo. Impacts of Different Factors on Accuracy of Point Cloud Obtained from Terrestrial Three-Dimensional Laser Scanning[J]. Laser & Optoelectronics Progress, 2017, 54(9): 092801

蔡越,徐文兵,梁丹,李翀,陈佐. 不同因素对地面三维激光扫描点云精度的影响[J]. 激光与光电子学进展, 2017, 54(9): 092801

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