Prof. Dr. Lutz Plümer

Dehbi, Y, Haunert, J, and Plümer, L (2017).
Stochastic and geometric reasoning for indoor building models with electric installations - bridging the gap between GIS and BIM
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-4/W5:33–39.

Dehbi, Y, Loch-Dehbi, S, and Plümer, L (2017).
Parameter estimation and model selection for indoor models based on sparse observations
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2/W4:303–310.

Schmitter, P, Steinrücken, J, Römer, C, Ballvora, A, Léon, J, Rascher, U, and Plümer, L (2017).
Unsupervised domain adaptation for early detection of drought stress in hyperspectral images
ISPRS\ Journal of Photogrammetry and Remote Sensing , 131:65 - 76.

Dehbi, Y, Hadiji, F, Gröger, G, Kersting, K, and Plümer, L (2017).
Statistical Relational Learning of Grammar Rules for 3D Building Reconstruction
Transactions in GIS, 21(1):134-150.

Loch-Dehbi, S, Dehbi, Y, and Plümer, L (2017).
Estimation of 3D Indoor Models with Constraint Propagation and Stochastic Reasoning in the Absence of Indoor Measurements
ISPRS International Journal of Geo-Information, 6(3, article number = 90).

Behmann, J, Hendriksen, K, Müller, U, Büscher, W, and Plümer, L (2016).
Support Vector machine and duration-aware conditional random field for identification of spatio-temporal activity patterns by combined indoor positioning and heart rate sensors
GeoInformatica, 20(4):693-714.

Behmann, J, Mahlein, A, Paulus, S, Dupuis, J, Kuhlmann, H, Oerke, E, and Plümer, L (2016).
Generation and application of hyperspectral 3D plant models: methods and challenges
Machine Vision and Applications, 27(5):611-624.

Dehbi, Y, Gröger, G, and Plümer, L (2016).
Identification and modelling of translational and axial symmetries and their hierarchical structures in building footprints by formal grammars
Transactions in GIS, 20(5):645-663.

Dehbi, Y, Staat, C, Mandtler, L, and Plümer, L (2016).
Incremental refinement of facade models with attribute grammar from 3D point clouds
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, III-3:311-316.

Loch-Dehbi, S, Dehbi, Y, Gröger, G, and Plümer, L (2016).
Prediction of building floorplans using logical and stochastic reasoning based on sparse observations
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2/W1:265-270.

Roscher, R, Behmann, J, Mahlein, A, Dupuis, J, Kuhlmann, H, and Plümer, L (2016).
Detection of disease symptoms on hyperspectral 3D plant models
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, III-7:89-96.

Behmann, J, Mahlein, A, Paulus, S, Kuhlmann, H, Oerke, E, and Plümer, L (2015).
Calibration of hyperspectral close-range pushbroom cameras for plant phenotyping
\ISPRS\ Journal of Photogrammetry and Remote Sensing, 106(0):172-182.

Behmann, J, Mahlein, A, Rumpf, T, Römer, C, and Plümer, L (2015).
A review of advanced machine learning methods for the detection of biotic stress in precision crop protection
Precision Agriculture, 16(3):239-260.

Loch-Dehbi, S and Plümer, L (2015).
Predicting building façade structures with multilinear Gaussian graphical models based on few observations
Computers, Environment and Urban Systems, 54:68–81.