Books and Papers

Paulau, P.; Hurka, J.; Middelberg, J.; Koch, S. (2024): Centralised monitoring and control of buildings using open standards. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences , doi: 10.5194/isprs-annals-X-4-W4-2024-169-2024 , Weblink
Sheikholeslami, Mohammad Moein; Kamran, Muhammad; Wichmann, Andreas; Sohn, Gunho (2024): CornerRegNet: Building Segmentation from Overhead Imagery Using Oriented Corners in Deep Networks. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Sieberth, T.; Meindl, Michael; Sagmeiser, Bernhard; Franckenberg, Sabine; Ptacek, Wolfgang (2024): Cost-effective 3D documentation device in forensic medicine. Forensic Science International , doi: https://doi.org/10.1016/j.forsciint.2024.112005
Sheikholeslami, Mohammad Moein; Kamran, Muhammad; Wichmann, Andreas; Sohn, Gunho (2024): Enhancing Polygonal Building Segmentation via Oriented Corners. Proceedings of the Computer Vision and Pattern Recognition (CVPR) , doi: https://doi.org/10.48550/arXiv.2407.12256 , Weblink
Werner, T.; Brinkhoff, T. (2024): Gauss Centre ’The Temporal Change of Geospatial Data’: Research Agenda and Current Status. International Conference on Geoinformation, Data, Processing and Applications

Presentations

Hastedt, H. : Evaluation of the quality of action cameras with wide-angle lenses in UAV photogrammetry. XXIII Congress of the ISPRS 2016, Prague, Czech Republic, Juli 2016
Luhmann, T. : Learning Photogrammetry with Interactive Software Tool PhoX. XXIII Congress of the ISPRS 2016, Prague, Czech Republic, Juli 2016
Reznicek, J. : Influence of raw image preprocessing and other selected processes on accuracy of close-range photogrammetric systems according to VDI 2634. XXIII Congress of the ISPRS 2016, Prague, Czech Republic, Juli 2016
, . : Constrained Evolutionary Wind Turbine Placement with Penalty Functions. IEEE Congress on Evolutionary Computation, Vancouver, BC, Canada, Juli 2016
Lorkowski, P. : Compression and Progressive Retrieval of Multi-Dimensional Sensor Data. XXIII Congress of the ISPRS 2016, Prague, Czech Republic, Juni 2016

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


Geomarketing im Einzelhandel. Optimierung des probabilistischen Gravitationsmodells unter Anwendung von Geographischen Informationssystemen (2019/2)
supervisors

Prof. Dr. rer. nat. Frank Schüssler

Matthias Schneider

cooperation

Brand Local

Reporting im kommunalen Grünflächenmanagement, Eine nutzerbasierte Anforderungsanalyse für die IP Syscon GmbH (2019/2)
supervisors

Prof. Dr. rer. nat. Frank Schüssler

Dipl.-Ing. Roland Hachmann

cooperation

IP SYSCON GmbH

Anwendung von Geomarketing-Methoden zur Entscheidungsunterstützung im Vertrieb und Marketing. Optimierung der Vertriebs- und Marketingkanäle der IP Syscon GmbH (2019/2)
supervisors

Prof. Dr. rer. nat. Frank Schüssler

Dipl.-Ing. Roland Hachmann

cooperation

IP SYSCON GmbH

Netzbeteiligungsangebot für Kommunen. Retroperspektive von ausgewählten Parametern und deren Zusammenhang aus Sicht eines Infrastrukturgebers (2019/2)
supervisors

Prof. Dr. rer. nat. Frank Schüssler

Dipl.-Ing. Ralf Hörtemöller

cooperation

EWE NETZ GmbH

Regionale Disparitäten bei der Landtagswahl in Niedersachsen 2017. Eine GIS-basierte Analyse des Wahlverhaltens (2019/2)