Dean of the Faculty of Geosciences and Environmental Engineering (FGEE)
Professor for Geoinformation (emeritus) at the University of Bonn
Connect:
SWJTU XIPU Campus Building 4 Room 4535
email:pluemer@swjtu.edu.com
Education:
Diploma Computer Science, University of Dortmund, Germany 1986
Ph.D. summa cum laude Computer Science, University of Dortmund, Germany 1989
Habilitation University of Bonn, Germany 1994
Experience
Professor for Informatics in Environmental Sciences, University of Vechta, Germany 1977 – 199
Professor and Director of the Institute for Geodesy and Geoinformation at the University of Bonn, Germany 1999 – 2016
Professor for Geoinformation and Dean of the Faculty of Geosciences and Environmental Engineering at the Southwest Jiaotong University since 2019
Research Interests
My research has focused on the reconstruction of semantic 3D building models from dense 3D point clouds. My group has developed 3D CityModel, the international standard for city and landscape models approved by the Open Geospatial Consortium OGC. Recently I have focussed on semantic 3D indoor models from dense observation. I adapt methods from Machine Learning and applied them also for problems of agriculture such as early prediction of plant diseases and stress detection for dairy cattle which seems different but is methodically very related.
Selected Publications
Dehbi, Y. Koppers, S. and L. Plümer, L. (2020) Looking for a needle in a haystack: probability density based classification and reconstruction of dormers from 3d point clouds. Accepted for publication in: Transactions in GIS, 2020
Dehbi, A. Henn, G. Gröger, V. Stroh, and L. Plümer (2020).Robust and fast reconstruction of complex roofs with active sampling from 3d point clouds. Accepted for publication in: Transactions in GIS 2020.
Wierig, M., Mandtler, L., Rottmann, P., Stroh, V., Müller, U., Büscher, W., & Plümer, L. (2018). Recording Heart Rate Variability of Dairy Cows to the Cloud—Why Smartphones Provide Smart Solutions. Sensors, 18(8), 2541
Loch-Dehbi, Sandra; Dehbi, Youness; Plümer, Lutz (2017): Estimation of 3D Indoor Models with Constraint Propagation and Stochastic Reasoning in the Absence of Indoor Measurements. In: ISPRS International Journal of Geo-Information 6 (3), S. 90.
Schmitter, P.; Steinrücken, J.; Römer, C.; Ballvora, A.; Léon, J.; Rascher, U.; Plümer, L. (2017): Unsupervised domain adaptation for early detection of drought stress in hyperspectral images. In: ISPRS Journal of Photogrammetry and Remote Sensing 131, S. 65–76.
Behmann, Jan; Mahlein, Anne-Katrin; Paulus, Stefan; Kuhlmann, Heiner; Oerke, Erich-Christian; Plümer, Lutz (2015): Calibration of hyperspectral close-range pushbroom cameras for plant phenotyping. In: ISPRS Journal of Photogrammetry and Remote Sensing 106, S. 172–182.
Behmann, Jan; Steinrücken, Jörg; Plümer, Lutz (2014): Detection of early plant stress responses in hyperspectral images. In: ISPRS Journal of Photogrammetry and Remote Sensing 93, S. 98–111
Henn, André; Gröger, Gerhard; Stroh, Viktor; Plümer, Lutz (2013): Model driven reconstruction of roofs from sparse LIDAR point clouds. In: ISPRS Journal of Photogrammetry and Remote Sensing 76, S. 17–29.
Gröger, Gerhard; Plümer, Lutz (2012): CityGML–Interoperable semantic 3D city models.In: ISPRS Journal of Photogrammetry and Remote Sensing 71, S. 12–33.
Dehbi, Youness; Plümer, Lutz. (2011): Learning grammar rules of building parts from precise models and noisy observations. In: ISPRS Journal of Photogrammetry and Remote Sensing 66 (2), S. 166–176.
