研究目的
Investigating the impact of correlated noise on the distance computation between point clouds (PC) for deformation analysis, and determining the most trustworthy distance metric in the case of heteroscedastic and correlated terrestrial laser scanner (TLS) observations.
研究成果
The study concludes that a mathematical approximation of noisy TLS PC is beneficial for trustworthy distance computation, with the AHD being more suitable than the HD in the case of correlated observations. Rigorous statistical testing for deformation can only be performed based on parametric surfaces. Correlated noise affects the distance computation positively by reducing the observations available, similar to a point density reduction.
研究不足
The study assumes the range variance to be known, which may not always be the case in real applications. The impact of fully populated VCM on computational burden is noted, especially for large datasets. The temporal correlation structure of TLS range measurements is not deeply analyzed.
1:Experimental Design and Method Selection:
The study involves simulations and real data analysis to assess the impact of correlated noise on distance computation between PC. Theoretical models include B-spline surface approximation and the use of Hausdorff distance (HD) and averaged Hausdorff distance (AHD).
2:Sample Selection and Data Sources:
Real observations from a bridge under load were used, with highly accurate laser tracker (LT) measurements as reference values. Simulated PC with known noise structures were also generated.
3:List of Experimental Equipment and Materials:
Zoller + Fr?hlich Imager 5006H TLS for scanning, and laser tracker (LT) for reference measurements.
4:Experimental Procedures and Operational Workflow:
The methodology includes generating noisy surfaces with different variance-covariance matrices (VCM), approximating PC with B-spline surfaces, and computing HD and AHD between surfaces or raw PC.
5:Data Analysis Methods:
Monte Carlo (MC) simulations were used to analyze the impact of correlations on distance computation. Statistical tests, including a novel bootstrap testing procedure, were applied to assess deformation significance.
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