On the Sensitivity of the Parameters of the Intensity-Based Stochastic Model for Terrestrial Laser Scanner. Case Study: B-Spline Approximation

For a trustworthy least-squares (LS) solution, a good description of the stochastic properties of the measurements is indispensable. For a terrestrial laser scanner (TLS), the range variance can be described by a power law function with respect to the intensity of the reflected signal. The power and...

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Main Authors: Gaël Kermarrec, Hamza Alkhatib, Ingo Neumann
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/9/2964
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author Gaël Kermarrec
Hamza Alkhatib
Ingo Neumann
author_facet Gaël Kermarrec
Hamza Alkhatib
Ingo Neumann
author_sort Gaël Kermarrec
collection DOAJ
description For a trustworthy least-squares (LS) solution, a good description of the stochastic properties of the measurements is indispensable. For a terrestrial laser scanner (TLS), the range variance can be described by a power law function with respect to the intensity of the reflected signal. The power and scaling factors depend on the laser scanner under consideration, and could be accurately determined by means of calibrations in 1d mode or residual analysis of LS adjustment. However, such procedures complicate significantly the use of empirical intensity models (IM). The extent to which a point-wise weighting is suitable when the derived variance covariance matrix (VCM) is further used in a LS adjustment remains moreover questionable. Thanks to closed loop simulations, where both the true geometry and stochastic model are under control, we investigate how variations of the parameters of the IM affect the results of a LS adjustment. As a case study, we consider the determination of the Cartesian coordinates of the control points (CP) from a B-splines curve. We show that a constant variance can be assessed to all the points of an object having homogeneous properties, without affecting the a posteriori variance factor or the loss of efficiency of the LS solution. The results from a real case scenario highlight that the conclusions of the simulations stay valid even for more challenging geometries. A procedure to determine the range variance is proposed to simplify the computation of the VCM.
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spelling doaj.art-d0444dca9a8d4df394d1e5d178beafcb2022-12-22T02:53:27ZengMDPI AGSensors1424-82202018-09-01189296410.3390/s18092964s18092964On the Sensitivity of the Parameters of the Intensity-Based Stochastic Model for Terrestrial Laser Scanner. Case Study: B-Spline ApproximationGaël Kermarrec0Hamza Alkhatib1Ingo Neumann2Geodetic Institute, Leibniz Universität Hannover, Nienburger Str. 1, 30167 Hannover, GermanyGeodetic Institute, Leibniz Universität Hannover, Nienburger Str. 1, 30167 Hannover, GermanyGeodetic Institute, Leibniz Universität Hannover, Nienburger Str. 1, 30167 Hannover, GermanyFor a trustworthy least-squares (LS) solution, a good description of the stochastic properties of the measurements is indispensable. For a terrestrial laser scanner (TLS), the range variance can be described by a power law function with respect to the intensity of the reflected signal. The power and scaling factors depend on the laser scanner under consideration, and could be accurately determined by means of calibrations in 1d mode or residual analysis of LS adjustment. However, such procedures complicate significantly the use of empirical intensity models (IM). The extent to which a point-wise weighting is suitable when the derived variance covariance matrix (VCM) is further used in a LS adjustment remains moreover questionable. Thanks to closed loop simulations, where both the true geometry and stochastic model are under control, we investigate how variations of the parameters of the IM affect the results of a LS adjustment. As a case study, we consider the determination of the Cartesian coordinates of the control points (CP) from a B-splines curve. We show that a constant variance can be assessed to all the points of an object having homogeneous properties, without affecting the a posteriori variance factor or the loss of efficiency of the LS solution. The results from a real case scenario highlight that the conclusions of the simulations stay valid even for more challenging geometries. A procedure to determine the range variance is proposed to simplify the computation of the VCM.http://www.mdpi.com/1424-8220/18/9/2964terrestrial laser scannerstochastic modelB-spline approximationcontrol pointintensity-based model
spellingShingle Gaël Kermarrec
Hamza Alkhatib
Ingo Neumann
On the Sensitivity of the Parameters of the Intensity-Based Stochastic Model for Terrestrial Laser Scanner. Case Study: B-Spline Approximation
Sensors
terrestrial laser scanner
stochastic model
B-spline approximation
control point
intensity-based model
title On the Sensitivity of the Parameters of the Intensity-Based Stochastic Model for Terrestrial Laser Scanner. Case Study: B-Spline Approximation
title_full On the Sensitivity of the Parameters of the Intensity-Based Stochastic Model for Terrestrial Laser Scanner. Case Study: B-Spline Approximation
title_fullStr On the Sensitivity of the Parameters of the Intensity-Based Stochastic Model for Terrestrial Laser Scanner. Case Study: B-Spline Approximation
title_full_unstemmed On the Sensitivity of the Parameters of the Intensity-Based Stochastic Model for Terrestrial Laser Scanner. Case Study: B-Spline Approximation
title_short On the Sensitivity of the Parameters of the Intensity-Based Stochastic Model for Terrestrial Laser Scanner. Case Study: B-Spline Approximation
title_sort on the sensitivity of the parameters of the intensity based stochastic model for terrestrial laser scanner case study b spline approximation
topic terrestrial laser scanner
stochastic model
B-spline approximation
control point
intensity-based model
url http://www.mdpi.com/1424-8220/18/9/2964
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