Books and Papers

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Chizhova, M.; Popovas, D.; Gorkovchuk, D.; Gorkovchuk, J.; Hess, M.; Luhmann, T. (2020): Virtual terrestrial laser scanner simulator for digitalization of teaching environment: Concept and first results. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, 91–97 , doi: 10.5194/isprs-archives-XLIII-B5-2020-91-2020 , Weblink

Werner, T.; Brinkhoff, T. (2020): Window Operators for Processing Spatio-Temporal Data Streams on Unmanned Vehicles. AGILE GIScience Ser., 1, 21 , doi: 10.5194/agile-giss-1-21-2020

Lorkowski, P. (2019): A System Architecture for the Monitoring of Continuous Phenomena by Sensor Data Streams. Dissertation an der Universität Osnabrück , Weblink

Czwikla, J.; Urbschat, I.; Kieschke, J.; Schüssler, F.; Langner, I.; Hoffmann, F. (2019): Assessing and Explaining Geographic Variations in Mammography Screening Participation and Breast Cancer Incidence. Frontiers in Oncology , doi: https://doi.org/10.3389/fonc.2019.00909 , Weblink

Luhmann, T.; Robson, S.; Kyle, S.; Böhm, J. (2019): Close-Range Photogrammetry and 3D Imaging. 3rd edition, Walter de Gruyter, Berlin, 822 pages

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Presentations

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Luhmann, T. : Photogrammetrie – ein hochgenaues Verfahren der optischen 3D-Messtechnik. Geodätisches Kolloquium Leibniz Universität Hannover, Januar 2017

Hastedt, H. : Hochgenaue optische 3D-Messtechnik: Qualität und Prüfung in der Photogrammetrie. Kolloquium an der Hochschule Anhalt, Dessau, November 2016

Knies, J. : Der Raumbezug im zukünftigen Energiesystem. 7. GiN-EVU-Forum, Oldenburg, November 2016

Luhmann, T. : Introduction to Close-Range Photogrammetry. Kiev National University for Construction and Architecture, November 2016

Weisensee, M. : Kartographie heute und morgen. Fachkolloquium der Sektion Hessen der DGfK e.V, Frankfurt, November 2016

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Projects

Integration and simultaneous estimation of kinematic parameters in multi-view image matching of dynamic processes

2022-2025

funded by: German Research Foundation

Classical methods of photogrammetric deformation analysis are essentially a two-step process of spatio-temporal image matching (STM) followed by the calculation of deformation parameters. In many close-range applications, further kinematic in... more

people
Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann (head) Simon Nietiedt, M.Sc.

Northwestern Lower Saxony - Sustainable New (4N): Geo-Toolbox

2022-2025

funded by: Niedersächsisches Vorab

Transformation and structural change in rural areas mean changes in space and time. Such spatiotemporal data is to be managed and processed by our “Geo-Toolbox”. It uses digital technologies such as databases and geographic information systems &#... more

people
Prof. Dr. Thomas Brinkhoff (head) Prof. Dr. rer. nat. habil. Roland Pesch (head) Prof. Dr. rer. nat. Frank Schüssler (head) Tobias Werner, M.Sc. (10.2022-) Jonas Schoo, M.Sc. (06.2022-) Maren Leiz, M.Sc. (08.2022-) Dr. Amirmohammad Ghavimi (08.2022-)

Collaborative Spatial Artificial Intelligence in Realtime

2021-2024

funded by: Bundesministerium für Bildung und Forschung

The Project – „CoSAIR – Collaborative Spatial Artificial Intelligence in Realtime“ is funded by the Federal Ministry of Education and Research within the program „Research at Universities of Applied Sciences“ in order to create, consolida... more

people
Prof. Dr. Sascha Koch (head) Tobias Neiß-Theuerkauff, M.Sc. (-03.2024) Oliver Kahmen, M.Sc. (04.2022-07.2022) Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann Mareike Fincken, M.Sc. (09.2023-)

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