Franz Rottensteiner

Prof. Franz Rottensteiner is an Adjunct Professor and Deputy Director at the Institute of Photogrammetry and GeoInformation, Leibniz University Hannover. His work focuses on remote sensing, photogrammetry, and AI applications in geospatial data analysis. He leads projects like Gauss Centre for temporal geospatial data analysis and EU ChemiNova for cultural heritage conservation. Key research areas include CNN-based 3D reconstruction, satellite image time series classification, and cooperative vehicle positioning using UAV imagery. He collaborates on initiatives such as OER4Ukraine, providing educational resources in image analysis for Ukrainian academia. His recent projects emphasize interdisciplinary AI applications, including the Leibniz AI Academy for trans-curricular learning. Notable contributions include deep learning frameworks for land cover classification and vehicle pose estimation, with publications spanning 2020–2025.

Current research integrates transformer models for temporal data analysis, semantic segmentation, and domain adaptation techniques. His work bridges theoretical advancements with practical applications in autonomous systems, environmental monitoring, and heritage preservation.