光学
噪音(视频)
点云
计算机科学
协方差
激光扫描
白噪声
扫描仪
算法
激光器
物理
人工智能
统计
数学
电信
图像(数学)
作者
Gaël Kermarrec,Jens Hartmann
出处
期刊:Optics Express
[Optica Publishing Group]
日期:2021-03-28
卷期号:29 (11): 17011-17011
被引量:2
摘要
Rigorous statistical testing of deformation using a terrestrial laser scanner (TLS) can avoid events such as structure collapses. Such a procedure necessitates an accurate description of the TLS measurements’ noise, which should include the correlations between angles. Unfortunately, these correlations are often unaccounted for due to a lack of knowledge. This contribution addresses this challenge. We combine (i) a least-square approximation to extract the geometry of the TLS point cloud with the aim to analyze the residuals of the fitting and (ii) a specific filtering coupled with a maximum likelihood estimation to quantify the amount of flicker noise versus white noise. This allows us to set up fully populated variance covariance matrices of the TLS noise as a result.
科研通智能强力驱动
Strongly Powered by AbleSci AI