Chizhova, M.; Luhmann, T.; Gorkovchuk, D.; Hastedt, H.; Chachava, N.; Lekveishvili, N.(2019):
Combination of terrestrial laserscanning, UAV and close-range photogrammetry for 3D reconstruction of complex churches in Georgia.GEORES 2019, 2nd International Conference of Geomatics and Restoration, ISPRS International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-2/W11, pp. 753-761. , doi: https://doi.org/10.5194/isprs-archives-XLII-2-W11-753-2019
Brinkhoff, T.(2019):
Determining Point Locations of Populated Places by Using Area Datasets.Accepted Short Papers and Posters from the 22nd AGILE Conference on Geo‐information Science, Limassol, Cyprus, ISBN 978‐90‐816960‐9‐8 , Weblink
Reznicek, J.; Luhmann, T.(2019):
Finite element approach to camera modelling and calibration.PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, Vol. 87, No. 1-2, pp. 1-17 , doi: 10.1007/s41064-019-00068-x
Kahmen, O.; Luhmann, T.(2019):
Hochauflösende 3D-Rekonstruktion von Schweißnähten mittels Makrophotogrammetrie.6. Fachseminar der DGZfP, Optische Prüf- und Messverfahren, Karlsruhe
Luhmann, T.; Chizhova, M.; Gorkovchuk, D.; Jepping, A.; Hastedt, H.(2019):
Kombination von terrestrischem Laserscanning, UAV- und Nahbereichsphotogrammetrie zur Erfassung komplexer Kirchenbauwerke in Georgien.Kersten (Hrsg.): Publikationen der DGPF, Band 28, pp. 27-43 , Weblink
Luhmann, T.:
Fundamentals of camera calibration and image orientation.UAV-Conference, Intergeo 2024, Stuttgart,
September 2024
Fincken, M.:
Machine Learning für flächendeckende Geothermie-Potentialanalysen im Kontext der geodatenbasierten Wärmeleitplanung.Künstliche Intelligenz in der Geodäsie und Geoinformation, BILDUNGSWERK VDV, Paderborn,
Juni 2024
Paulau, P.
; Hurka, J. ; Middelberg, J. ; Koch, S.:
Centralised monitoring and control of buildings using open standards.8th International Conference on Smart Data & Smart Cities (SDSC), Athen,
Juni 2024Weblink
Luhmann, T.:
Introduction to Close-Range Photogrammetry.VRscan3D project week, Vilnius,
Mai 2024
The aim of the PhD project is to develop an innovative approach for detection of the dynamic states of rotor blades during operation without contact and targeting more