The Temporal Change of Geospatial Data – Universal Time Series Analysis for Change Detection and Reliable Predictions
2023-2025
Books and Papers
all
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2024
Wester, T.; Kröger, L.; Langidis, A.; Nietiedt, S.; Rofallski, R.; Göring, M.; Petrovic, V.; Luhmann, T.; Kühn, M.; Peinke, J.; Gülker, G. (2021):
PIV and deformation measurements on the rotor blade of a rotating, scaled model wind turbine with flexible blades under tailored inflow conditions. 14th International Symposium on Particle Image Velocimetry – ISPIV 2021, Chicago, Illinois
Chizhova, M.; Gorkovchuk, D.; Kachkovskaya, T.; Hess, M.; Popovas, D.; Gorkovchuk, J.; Luhmann, T. (2021):
Qualitative testing of an advanced terrestrial laser scanner simulator: users experience and feedback. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2021
, doi: 10.5194/isprs-archives-XLIII-B5-2021-29-2021
Lanz, P.; Marino, A.; Brinkhoff, T.; Köster, F.; Möller, M. (2021):
The InflateSAR Campaign: Testing SAR Vessel Detection Systems for Refugee Rubber Inflatables. Remote Sensing. 2021; 13(8):1487
, doi: 10.3390/rs13081487
Popovas, D.; Chizhova, M.; Gorkovchuk, D.; Gorkovchuk, J.; Hess, M.; Luhmann, T. (2021):
Virtual terrestrial laser scanner simulator in digital twin environment. Proceedings of the joint international event 9th ARQUEOLÓGICA 2.0 & 3rd GEORES, Valencia (Spain)
, doi: 10.4995/Arqueologica9.2021.12091
Rooper, C.; Robson, L.; Burgos, J.; van Denderen, D.; Downie, A.; Pirtle, J.; Puerta, P.; Auster, P.; Buhl-Mortensen, P.; Chu, J.; Colaço, A.; Finney, J.; Garcia-Alegre, A; Gianni, M.; Gonzalez, J. M.; Guerra, M. T.; Howell, K.; Langton, R.; Metaxas A.; Morato, T.; Nastasi, A.; Nixon, E.; Perez, J. M.; Perez-Rodriguez, I.; Pesch, R.; Rivera, J.; Stirling, D.; Thompson, P.; de la Torriente, A.; Vinha, B. (2021):
Workshop on the Use of Predictive Habitat Models in ICES Advice (WKPHM) 1-5 Feb 2021. ICES Scientific Reports, Volume 3, Issue 67
, doi: 10.17895/ices.pub.8213 , Weblink
Presentations
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
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
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 2024
Weblink
Projects
funded by: Federal Acency for Cartography and Geodesy (BKG)
This is a joint project with the Institute for Photogrammetry and GeoInformation (IPI) and the Institute for Cartography and Geoinformatics (ikg), both from Leibniz University Hannover. It is the first project of the "Gauß Center... more
funded by: Federal Ministry for Economic Affairs and Climate Action
The goal of the project is to supplement the classic visual inspection (VT) of welded joints under water with an optical 3D measurement system. Based on high-resolution 2D (image) data, metric 3D (surface) data will be generat... more
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
Bachelor & Master Theses
Entwicklung eines Dashboards zur Verbesserung des Bewerbungsprozesses für Unternehmen und Bewerber (2024/1)
cooperation
Human-Centered Design in der Konzeption und Entwicklung eines geodatenbasierten Entsiegelungskatasters (2023/12)
Flächendeckende Versiegelungsdetektion mittels Machine Learning für Entsiegelungskataster (2023/12)
Der digitale Zwilling im Metaverse - Untersuchung zur Modellierung und Anwendung virtueller Räume (2023/12)
cooperation
Räumliche Unterschiede bei der Wahrnehmung von Zukunftsmärkten in Medien: Eine Analyse von Zeitungsartikeln mittels Machine Learning (2023/10)
cooperation