点云密度对地面三维激光扫描精度及沉陷参数的影响

金属矿山 ›› 2011, Vol. 40 ›› Issue (09): 127-130.

点云密度对地面三维激光扫描精度及沉陷参数的影响

周大伟^1,2，吴侃^1,2，唐瑞林^1,2，周建伟³

1.中国矿业大学环境与测绘学院；2.江苏省资源环境信息工程重点实验室；3.中冶建工交通公司基础分公司

出版日期:2011-09-13 发布日期:2011-09-19
基金资助:
* 国家环保公益性行业科研专项（编号：200809128），“青蓝工程”项目。

The Influence of Point Cloud Density to Accuracy of Terrestrial 3D Laser Scanning and Mining Subsidence Parameters

Zhou Dawei^1,2，Wu Kan^1,2，Tang Ruilin^1,2，Zhou Jianwei³

1.School of Environment and Spatial Informatics，China University of Mining Technology；2.Jiangsu Key Laboratory of Resources and Environmental Information Engineering，China University ofMining Technology；3.Basic Branch of China Metallurgical Construction Engineering Transport Group Co.

Online:2011-09-13 Published:2011-09-19

摘要/Abstract

摘要： 根据平面分辨率的理论公式，推导地面三维激光扫描仪不同距离处的立面及平面相邻点间隔（即点云分辨率）计算公式，并得到了平面某一距离处平面单位面积的点云数的计算公式；通过试验分析点云分辨率对点位精度及测距精度的影响；通过对某矿沉陷观测的点云数据按照不同的分辨率进行重采样并进行求参，得到不同分辨率下参数的变化情况，经对比分析，得到最佳的点云分辨率设置标准为300 mm/100 m。

关键词: 地面三维激光扫描, 点间隔, 预计参数

Abstract: According to the theoretical formula for plane resolution，the formula for adjacent point gap（namely point cloud resolution)，which located in vertical plane and horizontal plane away different distance from the center of terrestrial 3D laser scanning，is deduced.And the formula for calculating numbers of points in unit area located in different distance from scanner is also obtained.The influence of point cloud resolution to positional accuracy and ranging precision is analyzed through experiments; Probability-integral parameters are acquired by using point cloud data of mining subsidence observation in some coal area resampling with different resolution，then analyzing the change of parameters under different resolution，The setting criterion of optimum point cloud resolution is determined to be 300 mm/100 m after contrast and anlysis.

Key words: Terrestrial 3D laser scanning, Point gap, Prediction parameter

周大伟, 吴侃, 唐瑞林, 周建伟. 点云密度对地面三维激光扫描精度及沉陷参数的影响[J]. 金属矿山, 2011, 40(09): 127-130.

ZHOU Da-Wei, WU Kan, TANG Rui-Lin, ZHOU Jian-Wei. The Influence of Point Cloud Density to Accuracy of Terrestrial 3D Laser Scanning and Mining Subsidence Parameters[J]. Metal Mine, 2011, 40(09): 127-130.

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[2]	杨俊凯, 陈炳乾, 邓喀中, 何强, 赵伟颖. 基于D-InSAR与概率积分法的开采沉陷监测与预计[J]. 金属矿山, 2015, 44(04): 195-200.

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