| Fitting terrestrial laser scanner point clouds with T-splines: Local refinement strategy for rigid body motion G Kermarrec, N Schild, J Hartmann Remote Sensing 13 (13), 2494, 2021 | 6 | 2021 |
| Understanding hierarchical B-splines with a case study: approximation of point clouds from TLS observations G Kermarrec, J Hartmann, H Faust, K Hartmann, R Besharat, G Samuel, ... Z. Geodäsie Geoinf. Landmanagement 145, 224-235, 2020 | 3 | 2020 |
| Automatic quality assessment of terrestrial laser scans J Hartmann, M Heiken, H Alkhatib, I Neumann Journal of Applied Geodesy 17 (4), 333-353, 2023 | 2 | 2023 |
| Uncertainty Modelling of Laser Scanning Point Clouds Using Machine-Learning Methods J Hartmann, H Alkhatib Remote Sensing 15 (9), 2349, 2023 | 1 | 2023 |
| Erfahrungen aus einem koordinierten Vergleich aktueller Scanner A Wieser, L Balangé, P Bauer, T Gehrmann, J Hartmann, C Holst, B Jost, ... DVW e. V.(Hrsg.): Terrestrisches Laserscanning, 23-38, 2022 | 1 | 2022 |
| Using least-squares residuals to assess the Stochasticity of measurements—example: terrestrial laser scanner and surface modeling G Kermarrec, N Schild, J Hartmann Engineering Proceedings 5 (1), 59, 2021 | 1 | 2021 |
| Uncertainty Modelling of Laser Scanning Point Clouds Using Machine-Learning Methods. Remote Sens. 2023, 15, 2349 J Hartmann, H Alkhatib | | 2023 |
| Using Least-Squares Residuals to Assess the Stochasticity of Measurements—Example: Terrestrial Laser Scanner and Surface Modeling. Eng. Proc. 2021, 5, 59 G Kermarrec, N Schild, J Hartmann s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| Fitting Terrestrial Laser Scanner Point Clouds with T-Splines: Local Refinement Strategy for Rigid Body Motion. Remote Sens. 2021, 13, 2494 G Kermarrec, N Schild, J Hartmann s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| Automatic and efficient quality assessment of terrestrial laser scans J Hartmann, I Neumann | | |
