Boltersdorf, S.H.; Pesch, R.; Werner, W.(2014):
Comparative use of lichens, mosses and tree bark to evaluate nitrogen deposition in Germany.Environmental Pollution; 189:43-53
Jepping, C.; Bethmann, F.; Luhmann, T.(2014):
Congruence Analysis of Point Clouds from Unstable Stereo Image Sequences.International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-5, Commission V, Riva del Garda, Italy, 301-306 , doi: 10.5194/isprsarchives-XL-5-301-2014
Schröder, W.; Pesch, R.; Schönrock, S.; Harmens, H.; Mills, G.; Fagerli, H.(2014):
Correlations between nitrogen concentrations in atmospheric deposition and mosses mapped for natural landscapes in Europe.Proceedings 27th Task Force Meeting ICP Vegetation, 28-30 January, Paris:46
Große-Schwiep, M.; Hastedt, H.; Luhmann, T.(2014):
Deformationsmessung mit terrestrischem Laserscanning und Photogrammetrie.Allgemeine Vermessungsnachrichten, Wichmann VDE Verlag, 2/2014, 43-52
Pilinski, J.; Luhmann, T.(2014):
Development of a Real Time Low-cost Tracking System for Medical and Audiological Applications.Tagungsband LowCost3D – Sensors, Algorithms, Applications, Berlin
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