摘要
针对影响地面三维激光扫描仪的各种因素影响,设计不同扫描场景,分析入射角度、扫描距离、光照强度等因素对扫描误差的影响程度,针对最小二乘方法在用于数据拟合时将所有数据用于运算,使得结果受到某些“不利”数据的影响,本文提出基于主成分分析方法对最小二乘的几何优化,结合两种算法解决了“不利”因素的影响并在精度上得到提高,对影响因素分析结果更加稳定、准确,为三维激光扫描用于生产实践提供参考意义。
Aiming at the influence of various factors on the ground three-dimensional(3D)laser scanner,different scanning scenes were designed,and the influence degree of the incident angle,scanning distance,light intensity on the scanning error was analyzed,aiming at the fact that the least square method applied all the data in the operation when it was used in the data fitting,and the result was affected by some“Disadvantageous”data,this paper present the geometric optimization of the least square method based on principal component analysis,by combining the two algorithms,the influence of“Disadvantageous”factors was solved and the precision was improved,and the analysis result of the influence factors was more stable and accurate.
作者
丁鸽
倪海滨
黄雪亭
董彦君
卞磊
梁坤
修明军
陈廷华
DING Ge;NI Haibin;HUANG Xueting;DONG Yanjun;BIAN Lei;LIANG Kun;XIU Mingjun;CHEN Tinghua(Jinan Institute of Surveying and Mapping,Jinan Shandong 250101,China)
出处
《北京测绘》
2022年第9期1193-1197,共5页
Beijing Surveying and Mapping
关键词
三维激光扫描
扫描影响因素
主成分分析
精度分析
three-dimensional(3D)laser scanning
scanning influence factor
principal component analysis
precision analysis