Protect Baltic: Protection and restoration measures for a resilient Baltic Sea ecosystem
2023-2028
Books and Papers
all
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Kada, Martin; Wichmann, Andreas; Manzke, Nina; Filippovska, Yevgeniya (2016):
A Data Model for the Interactive Construction and Correction of 3D Building Geometry Based on Planar Half-Spaces. Springer International Publishing
, doi: https://doi.org/10.1007/978-3-319-25691-7_26 , Weblink
Reznicek, J.; Hastedt, H.; Ekkel, T.; Luhmann, T.; Jepping, C. (2016):
Analysen zur Datumsfestlegung in photogrammetrischen Projekten großer Volumina. Publikationen der DGPF, Band 25, Bern, 259-270
Kada, Martin; Wichmann, Andreas; Filippovska, Yevgeniya; Hermes, Tobias (2016):
Animation Strategies for Smooth Transformations Between Discrete LODs of 3D Building Models. ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, doi: https://doi.org/10.5194/isprs-archives-XLI-B2-413-2016 , Weblink
Albers, Bastian; Kada, Martin; Wichmann, Andreas (2016):
Automatic Extraction and Regularization of Building Outlines from Airborne LiDAR Point Clouds. ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, doi: https://doi.org/10.5194/isprs-archives-XLI-B3-555-2016 , Weblink
Lorkowski, P.; Brinkhoff, T. (2016):
Compression and Progressive Retrieval of Multi-Dimensional Sensor Data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B2, 2016, 27-33
, doi: 10.5194/isprs-archives-XLI-B2-27-2016 , Weblink
Presentations
Luhmann, T.
:
Photogrammetric Research at Jade University.
Vilniaus Gedimino technikos universitetas, Vilnius,
Dezember 2018
Brinkhoff, T.
:
Geodatenbanksysteme.
CAS Räumliche Informationssysteme, ETH Zürich, Schweiz,
Dezember 2018
Luhmann, T.
:
Introduction to Close-Range Photogrammetry II.
Kiev National University for Construction and Architecture, Kiew,
November 2018
Luhmann, T.
:
Introduction to Close-Range Photogrammetry I.
Kiev National University for Construction and Architecture, Kiew,
November 2018
Luhmann, T.
:
Dense pointclouds from combined nadir and oblique imagery by object-based semi-global multi-image matching.
GIS Day, Vilniaus Gedimino technikos universitetas, Vilnius,
November 2018
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
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)
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)