| Ocean eddy identification and tracking using neural networks K Franz, R Roscher, A Milioto, S Wenzel, J Kusche IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 70 | 2018 |
| Detection of repeated structures in facade images S Wenzel, M Drauschke, W Förstner Pattern Recognition and Image Analysis 18, 406-411, 2008 | 42 | 2008 |
| Sea level anomaly prediction using recurrent neural networks A Braakmann-Folgmann, R Roscher, S Wenzel, B Uebbing, J Kusche arXiv preprint arXiv:1710.07099, 2017 | 27 | 2017 |
| Semi-supervised incremental learning of hierarchical appearance models S Wenzel, W Förstner Proceeding of the 21st Congress of the International Society for …, 2008 | 20 | 2008 |
| Deep self-taught learning for remote sensing image classification A Bettge, R Roscher, S Wenzel arXiv preprint arXiv:1710.07096, 2017 | 11 | 2017 |
| Learning a compositional representation for facade object categorization S Wenzel, W Förstner ISPRS Annals of Photogrammetry, Remote Sensing & the Spatial Information …, 2012 | 9 | 2012 |
| High-level facade image interpretation using marked point processes S Wenzel Universitäts-und Landesbibliothek Bonn, 2016 | 8 | 2016 |
| Facade interpretation using a marked point process S Wenzel, W Förstner ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2016 | 8 | 2016 |
| Finding poly-curves of straight line and ellipse segments in images S Wenzel, W Förstner Photogrammetrie, Fernerkundung, Geoinformation (PFG) 4, 297-308, 2013 | 8 | 2013 |
| The Role of Sequences for Incremental Learning. S Wenzel, L Hotz ICAART (1), 434-439, 2010 | 8 | 2010 |
| Detection and description of repeated structures in rectified facade images S Wenzel, M Drauschke, W Forstner PHOTOGRAMMETRIE FERNERKUNDUNG GEOINFORMATION 2007 (7), 485, 2007 | 7 | 2007 |
| Sea Level Anomaly Prediction using Recurrent Neural Networks. arXiv 2017 A Braakmann-Folgmann, R Roscher, S Wenzel, B Uebbing, J Kusche arXiv preprint arXiv:1710.07099, 0 | 7 | |
| Chain-wise generalization of road networks using model selection D Bulatov, S Wenzel, G Häufel, J Meidow ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017 | 5 | 2017 |
| PHOTOGRAMMETRIC ENGINEEERING AND REMOTE SENSING Z Shao, Y Tang, X Huang, D Li, J Wu, J Mao, S Chen, G Zhuoma, ... | 4 | 2002 |
| Simultaneous chain-forming and generalization of road networks S Wenzel, D Bulatov Photogramm. Eng. Remote Sens 85, 19-28, 2019 | 3 | 2019 |
| Archetypal analysis for sparse representation-based hyperspectral sub-pixel quantification L Drees, R Roscher, S Wenzel arXiv preprint arXiv:1802.02813, 2018 | 3 | 2018 |
| Sparse representation-based archetypal graphs for spectral clustering R Roscher, L Drees, S Wenzel 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 1 | 2017 |
| Discriminative archetypal self-taught learning for multispectral landcover classification R Roscher, S Wenzel, B Waske 2016 9th IAPR Workshop on Pattern Recogniton in Remote Sensing (PRRS), 1-5, 2016 | 1 | 2016 |
| Mirroring and matching of the SIFT-feature descriptors for detection of symmetries and repeated structures in images S Wenzel Technical Report tr-igg-p-2007-04 (Technical Report, Department of …, 2007 | 1 | 2007 |
| Detektion wiederholter und symmetrischer Strukturen in Fassadenbildern S WENZEL, M DRAUSCHKE, W FÖRSTNER DGPF Tagungsband-Dreilaendertagung SGPBF, DGPF und OVG 16, 119-126, 2007 | 1 | 2007 |
