Marc Rußwurm
Název
Citace
Citace
Rok
Multi-temporal land cover classification with sequential recurrent encoders
M Rußwurm, M Körner
ISPRS International Journal of Geo-Information 7 (4), 129, 2018
692018
Temporal vegetation modelling using long short-term memory networks for crop identification from medium-resolution multi-spectral satellite images
M Rußwurm, M Korner
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
582017
Multi-temporal land cover classification with long short-term memory neural networks
M Rußwurm, M Körner
The International Archives of Photogrammetry, Remote Sensing and Spatial …, 2017
282017
Multi3Net: segmenting flooded buildings via fusion of multiresolution, multisensor, and multitemporal satellite imagery
TGJ Rudner, M Rußwurm, J Fil, R Pelich, B Bischke, V Kopačková, ...
Proceedings of the AAAI Conference on Artificial Intelligence 33, 702-709, 2019
232019
tslearn: A machine learning toolkit dedicated to time-series data, 2017
R Tavenard, J Faouzi, G Vandewiele, F Divo, G Androz, C Holtz, M Payne, ...
URL https://github. com/rtavenar/tslearn, 0
19
End-to-end learning for early classification of time series
M Rußwurm, S Lefevre, N Courty, R Emonet, M Körner, R Tavenard
arXiv preprint arXiv:1901.10681, 2019
52019
Convolutional LSTMs for cloud-robust segmentation of remote sensing imagery
M Rußwurm, M Körner
arXiv preprint arXiv:1811.02471, 2018
52018
Early classification for agricultural monitoring from satellite time series
M Rußwurm, R Tavenard, S Lefèvre, M Körner
arXiv preprint arXiv:1908.10283, 2019
42019
Self-attention for raw optical satellite time series classification
M Rußwurm, M Körner
arXiv preprint arXiv:1910.10536, 2019
32019
Breizhcrops: A satellite time series dataset for crop type identification
M Rußwurm, S Lefèvre, M Körner
Proceedings of the International Conference on Machine Learning Time Series …, 2019
32019
“Visualising the project landscape”: a spatialisation describing workload attributes as terrain
M Rußwurm, A Moore
Environmental Earth Sciences 74 (10), 7159-7172, 2015
22015
Tslearn, a machine learning toolkit for time series data
R Tavenard, J Faouzi, G Vandewiele, F Divo, G Androz, C Holtz, M Payne, ...
Journal of Machine Learning Research 21 (118), 1-6, 2020
12020
Meta-Learning for Few-Shot Land Cover Classification
M Rußwurm, S Wang, M Korner, D Lobell
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
12020
BreizhCrops: A Time Series Dataset for Crop Type Mapping
M Rußwurm, C Pelletier, M Zollner, S Lefèvre, M Körner
arXiv preprint arXiv:1905.11893, 2019
12019
Sequential Recurrent Encoders for Land Cover Mapping in the Brazilian Amazon using MODIS Imagery and Auxiliary Datasets
A Coca-Castro, M Rußwurm, L Reymondin, M Mulligan
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
2019
Towards multi-temporal data-driven models for extracting and learning information from remote sensing times series and existing ancillary data for land cover classification
A Coca Castro, M Rußwurm, M Mulligan
EGUGA, 10234, 2018
2018
Multitemporal Crop Identification from Medium-Resolution Multi-Spectral Satellite Images based on Long Short-Term Memory Neural Networks
M Rußwurm, M Körner
International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017
2017
Rapid Computer Vision-Aided Disaster Response via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery
TGJ Rudner, M Rußwurm, J Fil, R Pelich, B Bischke, V Kopacková
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Články 1–18