| Deep learning earth observation classification using ImageNet pretrained networks D Marmanis, M Datcu, T Esch, U Stilla IEEE Geoscience and Remote Sensing Letters 13 (1), 105-109, 2015 | 666 | 2015 |
| Classification with an edge: Improving semantic image segmentation with boundary detection D Marmanis, K Schindler, JD Wegner, S Galliani, M Datcu, U Stilla ISPRS Journal of Photogrammetry and Remote Sensing 135, 158-172, 2018 | 614 | 2018 |
| Semantic segmentation of aerial images with an ensemble of CNNs D Marmanis, JD Wegner, S Galliani, K Schindler, M Datcu, U Stilla ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2016 | 352 | 2016 |
| Learned spectral super-resolution S Galliani, C Lanaras, D Marmanis, E Baltsavias, K Schindler arXiv preprint arXiv:1703.09470, 2017 | 123 | 2017 |
| Dimensioning urbanization–An advanced procedure for characterizing human settlement properties and patterns using spatial network analysis T Esch, M Marconcini, D Marmanis, J Zeidler, S Elsayed, A Metz, A Müller, ... Applied Geography 55, 212-228, 2014 | 83 | 2014 |
| Artificial generation of big data for improving image classification: A generative adversarial network approach on SAR data D Marmanis, W Yao, F Adam, M Datcu, P Reinartz, K Schindler, ... arXiv preprint arXiv:1711.02010, 2017 | 27 | 2017 |
| Roof type selection based on patch-based classification using deep learning for high resolution satellite imagery T Partovi, F Fraundorfer, S Azimi, D Marmanis, P Reinartz The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017 | 27 | 2017 |
| A novel method for building height estmation using TanDEM-X data M Marconcini, D Marmanis, T Esch, A Felbier 2014 IEEE Geoscience and Remote Sensing Symposium, 4804-4807, 2014 | 24 | 2014 |
| Semantic segmentation using deep neural networks for SAR and optical image pairs W Yao, D Marmanis, M Datcu | 22 | 2017 |
| Deep neural networks for above-ground detection in very high spatial resolution digital elevation models D Marmanis, F Adam, M Datcu, T Esch, U Stilla ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2015 | 20 | 2015 |
| Classification with an edge: Improving semantic image segmentation with boundary detection. arXiv 2016 D Marmanis, K Schindler, JD Wegner, S Galliani, M Datcu, U Stilla arXiv preprint arXiv:1612.01337, 0 | 10 | |
| Semantic segmentation using the fully convolutional networks for SAR and optical image pairs W Yao, D Marmanis, M Datcu Proceedings of the 2017 conference on Big Data from Spcace (BiDS'17), 289-292, 2017 | 9 | 2017 |
| Semantic segmentation of aerial images with explicit class-boundary modeling D Marmanis, K Schindler, JD Wegner, M Datcu, U Stilla 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 5 | 2017 |
| Variability estimation in hyperspectral airborne imagery GHG Kerr, D Marmanis | | 2016 |
| Urban classification from optical satellite images: a comparison between conventional machine learning and deep learning approaches F Adam, D Marmanis, G Schwarz, T Esch, U Stilla | | 2016 |
| Towards a Global Volume Estimator for Urban Environments D Marmanis, T Esch, U Stilla, M Marconcini | | |
| Deep Neural Networks for High Structure Detection in Urban Scenes D Marmanis, U Stilla, T Esch | | |
| ODAS 2016 Full Paper TITLE: Variability estimation in hyperspectral airborne imagery NAME & First name of main author: Kerr, Grégoire HG NAME & First name of co-authors … D Marmanis | | |
Uwe StillaTechnische Universitaet MuenchenGeverifieerd e-mailadres voor tum.de
