摘要
三维激光扫描点位精度受光斑影响较大,激光点在光斑中呈现了不确定性,该不确定性的准确描述关系到激光点位精度的评价。将误差熵模型引入到点位不确定性的评价中,利用激光点位在光斑中不确定性的概率密度函数,推导了激光点位信息熵,并依据误差熵与信息熵的关系得到了激光点位的误差熵。通过分析误差熵与光斑面积的关系,得到点云光斑平均误差熵,实现了将平均误差熵引入到点云不确定性的评价中。通过设置不同扫描间隔得到的点云数据,分析了平均熵模型进行基于光斑影响下的点云精度评价的可行性,最终实现了对光斑中点云不确定性的准确评价。
The spot influences the positional accuracy of terrestrial laser scanning. A Laser point in the spot is uncertain and the description of this uncertainty directly relates to the evaluation of positional accuracy. This paper introduces error entropy into the evaluation of point cloud uncertainty related to the spot. Point information entropy is deduced by using The probability density function of the laser point in the spot; and error entropy is obtained based on the relationship between error entropy and information entropy and evident in the relationship between error entropy and spot size; introducing average error entropy into the evaluation of point cloud uncertainty. The evaluation of average error entropy as a measure of point cloud accuracy influenced by laser spot was verified by an analysis of different scanning intervals, thus an evaluation of point cloud uncertainty influenced by the spot was realized.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2017年第6期864-868,共5页
Geomatics and Information Science of Wuhan University
基金
长江科学院开放研究基金(CKWV2015230/KY)
国家自然科学基金(41501502
41674005
41304001
41464001)
东华理工大学江西省数字国土重点实验室开放研究基金(DLLJ201601)
武汉市测绘研究院博士后创新实践基地科研项目(WGF2016002)
江西省教育厅科学技术研究项目(GJJ150592)~~
关键词
信息熵
误差熵
点云
光斑
不确定性
information entropy
error entropy
point cloud
spot
uncertainty
