Related references
Note: Only part of the references are listed.M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation
Lukas Winiwarter et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)
High-Precision 3D Object Capturing with Static and Kinematic Terrestrial Laser Scanning in Industrial Applications-Approaches of Quality Assessment
Ulrich Stenz et al.
REMOTE SENSING (2020)
How to Efficiently Determine the Range Precision of 3D Terrestrial Laser Scanners
Berit Schmitz et al.
SENSORS (2019)
Determination of Minimum Detectable Deformation of Terrestrial Laser Scanning Based on Error Entropy Model
Xijiang Chen et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)
Determination of Intensity-Based Stochastic Models for Terrestrial Laser Scanners Utilising 3D-Point Clouds
Daniel Wujanz et al.
SENSORS (2018)
Investigation of TLS Intensity Data and Distance Measurement Errors from Target Specular Reflections
Kai Tan et al.
REMOTE SENSING (2018)
On the Sensitivity of the Parameters of the Intensity-Based Stochastic Model for Terrestrial Laser Scanner. Case Study: B-Spline Approximation
Gael Kermarrec et al.
SENSORS (2018)
An intensity-based stochastic model for terrestrial laser scanners
D. Wujanz et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2017)
Uncertainty in Terrestrial Laser Scanner Surveys of Landslides
Maurizio Barbarella et al.
REMOTE SENSING (2017)
A Generic Point Error Model for TLS Derived Point Clouds
Mustafa Ozendi et al.
VIDEOMETRICS, RANGE IMAGING, AND APPLICATIONS XIV (2017)
Surface-based matching of 3D point clouds with variable coordinates in source and target system
Xuming Ge et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016)
An Average Error-Ellipsoid Model for Evaluating TLS Point-Cloud Accuracy
Xijiang Chen et al.
PHOTOGRAMMETRIC RECORD (2016)
Rigorous error propagation for terrestrial laser scanning with application to snow volume uncertainty
Preston J. Hartzell et al.
JOURNAL OF GLACIOLOGY (2015)
Consolidation of Low-quality Point Clouds from Outdoor Scenes
Jun Wang et al.
COMPUTER GRAPHICS FORUM (2013)
Variations in multiscale curvature distribution and signatures of LiDAR DTM errors
Giulia Sofia et al.
EARTH SURFACE PROCESSES AND LANDFORMS (2013)
Iterative Consolidation of Unorganized Point Clouds
Shengjun Liu et al.
IEEE COMPUTER GRAPHICS AND APPLICATIONS (2012)
Point-to-plane registration of terrestrial laser scans
Darion Grant et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2012)
Scanning geometry: Influencing factor on the quality of terrestrial laser scanning points
Sylvie Soudarissanane et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2011)
Terrestrial laser scanner self-calibration: Correlation sources and their mitigation
Derek D. Lichti
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2010)
Using simulated Terrestrial Laser Scanning to analyse errors in high-resolution scan data of irregular surfaces
Rebecca A. Hodge
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2010)
Co-registration of Surfaces by 3D Least Squares Matching
Devrim Akca
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2010)
A Closed-Form Expression of the Positional Uncertainty for 3D Point Clouds
Kwang-Ho Bae et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2009)
Error modelling, calibration and analysis of an AM-CW terrestrial laser scanner system
Derek D. Lichti
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2007)
Non-iterative, feature-preserving mesh smoothing
TR Jones et al.
ACM TRANSACTIONS ON GRAPHICS (2003)
A method for fine registration of multiple view range images considering the measurement error properties
IS Okatani et al.
COMPUTER VISION AND IMAGE UNDERSTANDING (2002)