Books and Papers

Wichmann, Andreas (2018): Grammar-Guided Reconstruction of Semantic 3D Building Models From Airborne LiDAR Data Using Half-Space Modeling. DGK-Reihe C , doi: http://dx.doi.org/10.14279/depositonce-6803 , Weblink
Conen, N.; Hastedt, H.; Kahmen, O.; Luhmann, T. (2018): Improving Image Matching by Reducing Surface Reflections using Polarising Filter Techniques. ISPRS International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-2, pp. 267-274 , doi: 10.5194/isprs-archives-XLII-2-267-2018
Elliot, S.A.M.; Guérin, L.; Pesch, R.; Schmitt, P.; Meakins, B.; Vina-Herbon, C.; González-Irustad, J. M.; de la Torriente, A.; Serrano, A. (2018): Integrating benthic habitat indicators: Working towards an ecosystem approach. Marine Policy, 90, 88-94 , doi: doi.org/10.1016/j.marpol.2018.01.003 , Weblink
Rofallski, R.; Kahmen, O.; Conen, N.; Luhmann, T. (2018): Komplexe Freiformerfassung am Beispiel einer großen freischwebenden Seifenblase. 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. 77-86
Werner, T.; Brinkhoff, T. (2018): Managing Spatio-Temporal Data Streams on AUVs. Proceedings of the IEEE/OES Autonomous Underwater Vehicles Workshop (AUV), Porto, Portugal , doi: 10.1109/AUV.2018.8729817

Presentations

Albers, S. : Automatische Erkennung transparenter oder spiegelnder Oberflächen aus 3D-Punktwolken. Oldenburger BIMTag, September 2022
Luhmann, T. : Hochgenaue optische 3D-Messtechnik. Technische Optik in der Praxis, Göttingen, September 2022
Pesch, R. ; Rothe, M. ; Bildstein, T. ; Schuchardt, B. ; Heinicke, K. ; Boedeker, D. : Mapping of softbottom biotopes in the German EEZ – First results from 10 years of biotope mapping in the North Sea. Meeting of the ICES Working Group on Marine Habitat Mapping (Marine and Freshwater Research Institute, Reykjavik, Island; 29.08.-02.09.2022), August 2022
Pesch, R. ; Beermann, J. ; Gutow, L. ; Heinicke, K. : Benthic Monitoring within the scope of the EU Habitats Directive and Marine Strategy Framework Directive in the German EEZ of the North Sea. Meeting of the ICES Working Group on Marine Habitat Mapping (Marine and Freshwater Research Institute, Reykjavik, Island; 29.08.-02.09.2022), August 2022
Pesch, R. ; Nolte, P. ; Bildstein, T. ; Schuchardt, B. ; Heinicke, K. ; Boedeker, D. : Delineation of reefs in the German EEZ of the North Sea - New results from the national biotope mapping project. Meeting of the ICES Working Group on Marine Habitat Mapping (Marine and Freshwater Research Institute, Reykjavik, Island; 29.08.-02.09.2022), August 2022

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
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

Bachelor & Master Theses


Untersuchung zum Mobile Mapping in der Bestandserfassung im Vergleich zu konventionellen Messmethoden (2024/2)
Augmented Reality in der Flurbereinigung: Untersuchung zur Visualisierung der Besitzeinweisung (2024/2)
supervisors

Prof. Dr. Ingrid Jaquemotte

Dr. Andre Riesner

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)