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
Brinkhoff, T.:
Geodatenbanksysteme.CAS Räumliche Informationssysteme, ETH Zürich, Schweiz (online),
Dezember 2020
Luhmann, T.:
Beispiele hochauflösender photogrammetrischer 3D-Erfassungen komplexer Objekte.Herbsttagung der Fachgruppe Naturwissenschaftliche Museen im Deutschen Museumsbund e. V. (DMB), Museum Am Schölerberg, Osnabrück,
September 2020
Göring, M.:
Development of a Fan-Shaped Distance Meter System for Measuring Moving Rotor Blades - Concept, Photogrammetric Orientation and first results.XXIVth ISPRS Congress,
September 2020
Luhmann, T.:
Institute for Applied Photogrammetry and Geoinformatics – Photogrammetry.Online-Conference on Modern Mathematics and Concepts for Innovative Mathematical Education, Moskau,
Juni 2020
Luhmann, T.:
Ukraine – Ein Land voller Gegensätze.Ziegelei-Akademie, Wardenburg,
Februar 2020
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
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