Dimitrios Marmanis
Dimitrios Marmanis
PhD Candidate German Aerospace Center & Technical University of Munich
Verified email at dlr.de - Homepage
Title
Cited by
Cited by
Year
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
3352015
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
2652018
Semantic segmentation of aerial images with an ensemble of CNSS
D Marmanis, JD Wegner, S Galliani, K Schindler, M Datcu, U Stilla
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2016
2002016
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
552014
Learned spectral super-resolution
S Galliani, C Lanaras, D Marmanis, E Baltsavias, K Schindler
arXiv preprint arXiv:1703.09470, 2017
452017
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
172014
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
122015
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
11
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
92017
Roof Type Selection based on patch-based classsification using deep learning for high Resolution Satellite Imagery
T Partovi, F Fraundorfer, S Azimi, D Marmanis, P Reinartz
International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017
82017
Semantic segmentation using deep neural networks for SAR and optical image pairs
W Yao, D Marmanis, M Datcu
72017
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
42017
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
32017
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
Semantic Segmentation of Aerial Images With An Ensemble of CNNs
JWSGK Schindler, M Datcu, U Stilla, D Marmanis
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
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