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Zugeordnete Kategorie(n):


  • 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, Youness (2016)
    Statistical relational learning of semantic models and grammar rules for 3D building reconstruction from 3D point clouds
    Dissertation, Bonn 2016

  • 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

  • Haunert, Jan-Henrik / Meulemanns, Wouter (2016)
    Partitioning Polygons via Graph Augmentation
    Proceedings of the 9th International Conference on Geographic Information Science (GIScience 2016). 2016, S. 18-33

  • Haunert, Jan-Henrik / Wolff, Alexander (2016)
    Beyond Maximum Independent Set: An Extended Model for Point-Feature Label Placement
    Proceedings of the XXIII ISPRS Congress. 2016, S. 109-114

  • Haunert, Jan-Henrik / Wolff, Alexander (2016)
    Räumliche Analyse durch kombinatorische Optimierung
    Freeden, W. / Rummel, R. (Hg.): Handbuch der Geodäsie. 2016, S. 1-39

  • 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

  • Peng, Dongliang / Wolff, Alexander / Haunert, Jan-Henrik (2016)
    Continuous Generalization of Administrative Boundaries Based on Compatible Triangulations
    Proceedings of the 19th AGILE International Conference on Geographic Information Science. 2016

  • Römer,Christoph (2016)
    Identification of relevant Patterns in Spectral Signatures
    Dissertation, Bonn 2016

  • 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

  • Roscher, Ribana / Behmann, Jan / Mahlein, Anne-Katrin / Plümer, Lutz (2016)
    On the Benefit of Topographic Dictionaries for Detecting Disease Symptoms on Hyperspectral 3D Plant Models
    IEEE (Hg.): 8th Workshop on Hyperspectral Image and Signal Processing. Los Angeles 2016

  • Dijk, TCv, Haunert, J, and Oehrlein, J (2016)
    Location-dependent generalization of road networks based on equivalent destinations
    Computer Graphics Forum, 35(3):451-460

  • Kindermann, P, Niedermann, B, Rutter, I, Schaefer, M, Schulz, A, and Wolff, A (2016)
    Multi-Sided Boundary Labeling
    Algorithmica, 76(1):225-258

Zugeordnete Kategorie(n):


  • 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.

  • Gemsa, A, Haunert, J, and Nöllenburg, M (2015).
    Multirow Boundary-Labeling Algorithms for Panorama Images
    ACM Transations on Spatial Algorithms and Systems, 1(1):1-30.

  • 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.

Zugeordnete Kategorie(n):