Reznicek, J.; Luhmann, T.; Hastedt, H.; Jepping, C.(2016):
Influence of raw image preprocessing and other selected processes on accuracy of close-range photogrammetric systems according to VDI 2634.International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B5, 107-113 , doi: 10.5194/isprs-archives-XLI-B5-107-2016
Wichmann, Andreas; Kada, Martin(2016):
Joint Simultaneous Reconstruction of Regularized Building Superstructures from Low-Density LiDAR Data Using ICP.ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences , doi: https://doi.org/10.5194/isprs-annals-III-3-371-2016, Weblink
Jepping, C.; Schulz, J.-U.; Luhmann, T.(2016):
Konzept zur Modellierung kinematischer Rotorblattverformungen an Windkraftanlagen.Allgemeine Vermessungsnachrichten (AVN), 1, 3-10
Luhmann, T.(2016):
Learning Photogrammetry with Interactive Software Tool PhoX.International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B6, 39-44 , doi: 10.5194/isprs-archives-XLI-B6-39-2016
Jung, Jaewook; Sohn, Gunho; Bang, Kiin; Wichmann, Andreas; Armenakis, Costas; Kada, Martin(2016):
Matching Aerial Images to 3D Building Models Using Context-Based Geometric Hashing.Sensors , doi: https://doi.org/10.3390/s16060932, Weblink
Luhmann, T.:
Fundamentals of camera calibration and image orientation.UAV-Conference, Intergeo 2024, Stuttgart,
September 2024
Ghavimi, A.:
Digital Mapping the Social Memory for a Sustainable Transformation of Settlements: A Participatory GIS Approach.City Transitions: Society and the Spatial and Temporal Dimensions of Change,
September 2024
Sieberth, T.:
Photogrammetrie in der Forensik.Schlaues Haus Oldenburg,
September 2024Weblink
Pesch, R.
; Berkström, C. ; Bergström, U. ; Ract, C. ; Sacre, E. ; Leiz, M.
; Lenzi, J.
; Ahvo, A. ; Fetissov, M. ; Kaasik, A. ; Kotta, J. ; Juva, K. ; Takkolander, A. ; Virtanen, E. :
Work package updates PROTECT BALTIC WP3 – Spatial Modelling.Protect Baltic Annual Meeting 2024,
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
Within the ARDINI project, we developed and evaluated a system of decentralized mobile devices and central GIS applications to increase the quality, efficiency and attractiveness of species collection in the field especially for volunteers. more
3D-Modellierung und optimierte Effizienzberechnung von Photovoltaiksystemen
2010-2012
funded by: European Fonds for Regional Development (EFRE)
Das Projekt nutzt neue photogrammetrische Methoden zur 3D-Rekonstruktion einer PV-Anlage mittels unkalibrierter Bilder, um für geplante oder bereits bestehende Anlagen die notwendigen geometrischen Parameter zu ermitteln. Ergänzt werden die so ermi...