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Elementary Error Model Applied to Terrestrial Laser Scanning Measurements: Study Case Arch Dam Kops
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/asna.18380152502openalex-snapshot
Untersuchungen über die Wahrscheinlichkeit der Beobachtungsfehler
inferredcites →https://doi.org/10.1007/978-3-030-51953-7_5openalex-snapshot
Determining Variance-Covariance Matrices for Terrestrial Laser Scans: A Case Study of the Arch Dam Kops
inferredcites →https://doi.org/10.1007/978-3-319-10828-5_24openalex-snapshot
Modeling and Propagation of Quality Parameters in Engineering Geodesy Processes in Civil Engineering
inferredcites →https://doi.org/10.1007/978-3-319-60125-0openalex-snapshot
Evaluating Measurement Accuracy
inferredcites →https://doi.org/10.1007/978-3-642-45583-4openalex-snapshot
Geodetic Refraction: Effects of Electromagnetic Wave Propagation Through the Atmosphere
inferredcites →https://doi.org/10.1007/978-3-642-97196-9openalex-snapshot
Electronic Distance Measurement
inferredcites →https://doi.org/10.1007/s00190-007-0157-xopenalex-snapshot
Least-squares variance component estimation
inferredcites →https://doi.org/10.1007/s00190-020-01352-0openalex-snapshot
A spatio-temporal deformation model for laser scanning point clouds
inferredcites →https://doi.org/10.1016/j.isprsjprs.2006.10.004openalex-snapshot
Error modelling, calibration and analysis of an AM–CW terrestrial laser scanner system
inferredcites →https://doi.org/10.1016/j.isprsjprs.2009.09.002openalex-snapshot
Terrestrial laser scanner self-calibration: Correlation sources and their mitigation
inferredcites →https://doi.org/10.1016/j.isprsjprs.2016.12.006openalex-snapshot
An intensity-based stochastic model for terrestrial laser scanners
inferredcites →https://doi.org/10.1029/2010jd014067openalex-snapshot
Monitoring of the refraction coefficient in the lower atmosphere using a controlled setup of simultaneous reciprocal vertical angle measurements
inferredcites →https://doi.org/10.1080/01621459.1949.10483310openalex-snapshot
The Monte Carlo Method
inferredcites →https://doi.org/10.1515/jag-2014-0020openalex-snapshot
Engineering Geodesy - Definition and Core Competencies
inferredcites →https://doi.org/10.1515/jag-2016-0026openalex-snapshot
A synthetic covariance matrix for monitoring by terrestrial laser scanning
inferredcites →https://doi.org/10.1515/jag-2017-0042openalex-snapshot
Influence of scanning parameters on the estimation accuracy of control points of B-spline surfaces
inferredcites →https://doi.org/10.1515/jag-2019-0002openalex-snapshot
Influence of the simplified stochastic model of TLS measurements on geometry-based deformation analysis
inferredcites →https://doi.org/10.1515/jag.2008.016openalex-snapshot
Determining uncertainties of correlated measurements by Monte Carlo simulations applied to laserscanning
inferredcites →https://doi.org/10.3390/s130607224openalex-snapshot
Improvements to and Comparison of Static Terrestrial LiDAR Self-Calibration Methods
inferredcites →https://doi.org/10.3390/s18092964openalex-snapshot
On the Sensitivity of the Parameters of the Intensity-Based Stochastic Model for Terrestrial Laser Scanner. Case Study: B-Spline Approximation
inferredcites →https://doi.org/10.4233/uuid:b7ae0bd3-23b8-4a8a-9b7d-5e494ebb54e5openalex-snapshot
The geometry of terrestrial laser scanning; identification of errors, modeling and mitigation of scanning geometry
inferredcites →https://doi.org/10.5281/zenodo.40440openalex-snapshot
Determination Of Synthetic Covariance Matrices - An Application To Gps Monitoring Measurements
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Novel Direct Multi-View Terrestrial Laser Scanner Data Registration Using Range, Polar and Azimuthal Angles Uncertainties
inferred← citeshttps://doi.org/10.2139/ssrn.4846554openalex-extracted
Novel Direct Multi-View Terrestrial Laser Scanner Data Registration Using Range, Polar and Azimuthal Angles Uncertainties
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130539openalex-snapshot
Point cloud registration with enhanced accuracy via a synthetic stochastic model
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2021.10.012openalex-snapshot
Towards the empirical determination of correlations in terrestrial laser scanner range observations and the comparison of the correlation structure of different scanners
inferred← citeshttps://doi.org/10.1016/j.jag.2023.103535openalex-snapshot
Patch-based M3C2: Towards lower-uncertainty and higher-resolution deformation analysis of 3D point clouds
inferred← citeshttps://doi.org/10.1016/j.ophoto.2023.100055openalex-snapshot
Statistically assessing vertical change on a sandy beach from permanent laser scanning time series
inferred← citeshttps://doi.org/10.1080/23311916.2026.2664923openalex-snapshot
Geodetic monitoring of bridge transition zones using non-selective data acquisition
inferred← citeshttps://doi.org/10.1111/phor.70009openalex-snapshot
New Parametrisation of Bundle Block Adjustment for Self‐Calibration of Terrestrial Laser Scanner (TLS)
inferred← citeshttps://doi.org/10.1177/14759217231168997openalex-snapshot
Drive-by infrastructure monitoring: a workflow for rigorous deformation analysis of mobile laser scanning data
inferred← citeshttps://doi.org/10.1515/jag-2020-0025openalex-snapshot
Deformation analysis of a reference wall towards the uncertainty investigation of terrestrial laser scanners
inferred← citeshttps://doi.org/10.1515/jag-2022-0032openalex-snapshot
An approach for considering the object surface properties in a TLS stochastic model
inferred← citeshttps://doi.org/10.1515/jag-2025-0037openalex-snapshot
Employing variance component estimation for point cloud based geometric surface representation by B-splines
inferred← citeshttps://doi.org/10.3390/rs13163124openalex-snapshot
Estimating Control Points for B-Spline Surfaces Using Fully Populated Synthetic Variance–Covariance Matrices for TLS Point Clouds
inferred← citeshttps://doi.org/10.3390/rs17142528openalex-snapshot
A Comprehensive Review of Mathematical Error Characterization and Mitigation Strategies in Terrestrial Laser Scanning
inferred← citeshttps://doi.org/10.3390/s22010265openalex-snapshot
Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry
inferred← citeshttps://doi.org/10.3390/s22239179openalex-snapshot
Review on the Research and Applications of TLS in Ground Surface and Constructions Deformation Monitoring
inferred← citeshttps://doi.org/10.4995/jisdm2022.2022.13816openalex-snapshot
Two-epoch TLS deformation analysis of a double curved wooden structure using approximating B-spline surfaces and fully-populated synthetic covariance matrices
inferred← citeshttps://doi.org/10.4995/jisdm2022.2022.13853openalex-snapshot
Transferability of an estimation procedure for distance deviations of terrestrial laser scanners from laboratory to on-site conditions
inferred← citeshttps://doi.org/10.5194/isprs-annals-x-g-2025-1003-2025openalex-snapshot
How to Find Geometric Changes in Laser Scanning Point Clouds? A Perspective on Correspondence Definitions
inferred← citeshttps://doi.org/10.5194/isprs-archives-xliii-b2-2021-745-2021openalex-snapshot
ENVIRONMENTAL INFLUENCES ON THE STABILITY OF A PERMANENTLY INSTALLED LASER SCANNER
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