Protect Baltic: Protection and restoration measures for a resilient Baltic Sea ecosystem
2023-2028
Books and Papers
all
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2024
Luhmann, T.; Ringel, H.; Wendt, K. (2001):
Annahme und Überwachung photogrammetrischer Messsysteme - Erste Erfahrungen mit der VDI-Richtlinie 2634. Fachtagung Koordinatenmesstechnik, Erlangen, VDI-Berichte 1618
Luhmann, T.; Tecklenburg, W.; Hastedt, H. (2001):
Camera Modelling with Image-variant Parameters and Finite Elements. Optical 3-D Measurement Techniques V, Wien
, Weblink
Brinkhoff, T.; Weitkämper, J. (2001):
Continuous Queries within an Architecture for Querying XML-Represented Moving Objects. 7th International Symposium on Spatial and Temporal Databases, Los Angeles, July 2001. in: Lecture Notes in Computer Science, Springer, pp. 136-154
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Brinkhoff, T.; Weitkämper, J. (2001):
Eine Architektur zur XML-basierten Repräsentation von bewegten Geo-Objekten. GI-Fachtagung Datenbanksysteme in Büro, Technik und Wissenschaft, Oldenburg, März 2001, in: Informatik aktuell, Springer, 144-53
, Weblink
Luhmann, T.; Tecklenburg, W. (2001):
Hybride Photogrammetric and Geodetic Surveillance of Historical Buildings for an Urban Tunnel Construction. International Archives of Photogrammetry and Remote Sensing, Recreating the Past - Visualization and Animation of Cultural Heritage, Vol. XXXIV, Part 5/W1, pp. 170-175, Ayutthaya, Thailand
, Weblink
Presentations
Bethmann, F. :
Multi-image Semi-global Matching in Object Space.
SPIE Conference 9528 „Videometrics, Range Imaging and Applications XIII“, München,
Juni 2015
Lorkowski, P. :
Towards Real-Time Processing of Massive Spatio-Temporally Distributed Sensor Data: A Sequential Strategy Based on Kriging.
18th AGILE International Conference on Geographic Information Science 2015, Lisbon, Portugal,
Mai 2015
Helle, A. :
Precise Head Tracking in Hearing Applications.
ISPRS WG V/5 and WG III/3 Workshop “Photogrammetric techniques for video surveillance, biometrics and biomedicine”, Moscow, Russia,
Mai 2015
Willemsen, T. :
Precise Laser-based Optical 3D Measurement of Welding Seams under Water.
ISRPS Workshop Underwater 3D Recording and Modeling, Piano di Sorrento, Italy,
April 2015
Göring, M.
:
An Approach for the Measurement of Rotor Blade Deformations during Operation.
2nd Conference for Wind Power Drives, Aachen,
März 2015
Projects
funded by: Europäische Union (EU)
Given the EU Biodiversity Strategy 2030, Protect Baltic aims to evaluate and optimise the existing network of marine protected areas in the Baltic Sea and thus makes a positive contribution to biodiversity and the protection of marine ecosystems. Tog... more
funded by: Federal Ministry for Economic Affairs and Climate Action
Subproject Optical 3D Measurement Technology:
For making of reliable wind turbine runtime extension assessments, a new method is being developed that takes into account the geometry and modal properties of the respective rotor blade. These are deter... more
funded by: zukunft.niedersachsen
The research network DiViAS brings together previously rarely interlinked methods and practices in the digitization, research and representation of collections from colonial contexts. The project will systematically combine expertise from museum stud... more
people
Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann (head) Prof. Dr. Sascha Koch (head) Prof. Dr. Thomas Brinkhoff (head) Simon Albers, M.Sc. (10.2023-) Dipl.-Ing. Verm.-Ass. Andreas Gollenstede (11.2023-) Arne Schierbaum, M.Sc. (12.2023-) Maximilian Herbers, M.Sc. (03.2024-)
Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann (head) Prof. Dr. Sascha Koch (head) Prof. Dr. Thomas Brinkhoff (head) Simon Albers, M.Sc. (10.2023-) Dipl.-Ing. Verm.-Ass. Andreas Gollenstede (11.2023-) Arne Schierbaum, M.Sc. (12.2023-) Maximilian Herbers, M.Sc. (03.2024-)
Bachelor & Master Theses
Augmented Reality in der Flurbereinigung: Untersuchung zur Visualisierung der Besitzeinweisung (2024/2)
Untersuchung zur Georeferenzierung und Nutzung von Urkarten des Liegenschaftskatasters (2024/2)
Analyse und Vergleich der geometrischen Eigenschaften von Referenzdaten und KI-Ergebnissen für die automatische Gebäudeerkennung in Luftbildern (2024/2)
Maschinelles Lernen für die Identifikation von baulichen Erweiterungen an Gebäuden anhand geometrischer Merkmale von ALKIS- und durch KI bestimmten Hausumringen (2024/2)
Integration und Verteilung von ALKIS-Grunddaten und Fortführungsdaten in Echtzeit mittels Open-Source-Technologien (2024/2)