Integration and simultaneous estimation of kinematic parameters in multi-view image matching of dynamic processes
2022-2025
Books and Papers
all
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
Wichmann, Andreas; Agoub, Amgad; Kada, Martin (2018):
RoofN3D: Deep Learning Training Data for 3D Building Reconstruction. ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, doi: https://doi.org/10.5194/isprs-archives-XLII-2-1191-2018 , Weblink
Chizhova, M.; Gurianov, A.; Luhmann, T.; Hess, M.; Brunn, A.; Stilla, U. (2018):
Semantic segmentation of building elements using point cloud hashing. Archives of the Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, Commission II, Riva del Garda, 2018, pp. 241-250
, doi: 10.5194/isprs-archives-XLII-2-241-2018
Knies, J. (2018):
Strategic heat planning: A spatial approach for urban areas. ICREN 2018, International Conference on Renewable Energy, Book of Abstacts, p.55-56
, Weblink
Conen, N.; Hastedt, H.; Kahmen, O.; Luhmann, T. (2018):
Untersuchung der Polarisationstechnik für photogrammetrische Anwendungen. Photogrammetrie – Laserscanning – Optische 3D-Messtechnik, Beiträge der Oldenburger 3D-Tage 2018, Wichmann, Berlin, ISBN 978-3-87907-643-7 (Buch), 978-3-87907-644-4 (E-Book), pp. 2-13
Luhmann, T.; Robson, S.; Kyle, S.; Böhm, J. (2018):
Ближняя фотограмметрия и 3D-зрение. URSS Publishing Group, Moskau, 684p.
, Weblink
Presentations
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
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
Nietiedt, S.
:
Occlusion handling in spatio-temporal object-based image sequence matching.
ISPRS TC II Mid-term Symposium, Las Vegas, Nevada, USA,
Juni 2024
doi: https://doi.org/10.5194/isprs-annals-X-2-2024-163-2024
Projects
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
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-)
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-)
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) Oliver Kahmen, M.Sc. (04.2022-07.2022) Tobias Neiß-Theuerkauff, M.Sc. Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann Mareike Fincken, M.Sc. (09.2023-)
Prof. Dr. Sascha Koch (head) Oliver Kahmen, M.Sc. (04.2022-07.2022) Tobias Neiß-Theuerkauff, M.Sc. Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann Mareike Fincken, M.Sc. (09.2023-)
Bachelor & Master Theses
Untersuchung zur Aufbereitung des Marktstammdatenregisters für planerische und statistische Zwecke mittels Open Source GIS-Software (2024/2)
Untersuchung zum Einfluss von Baumbeständen bei der Wertermittlung eines Flurbereinigungsverfahrens (2024/2)
cooperation
Untersuchung zum Mobile Mapping in der Bestandserfassung im Vergleich zu konventionellen Messmethoden (2024/2)
cooperation
Augmented Reality in der Flurbereinigung: Untersuchung zur Visualisierung der Besitzeinweisung (2024/2)
Untersuchung zur Georeferenzierung und Nutzung von Urkarten des Liegenschaftskatasters (2024/2)