| Land cover maps production with high resolution satellite image time series and convolutional neural networks: Adaptations and limits for operational systems A Stoian, V Poulain, J Inglada, V Poughon, D Derksen Remote Sensing 11 (17), 1986, 2019 | 173 | 2019 |
| Shadow neural radiance fields for multi-view satellite photogrammetry D Derksen, D Izzo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 55 | 2021 |
| Geometry aware evaluation of handcrafted superpixel-based features and convolutional neural networks for land cover mapping using satellite imagery D Derksen, J Inglada, J Michel Remote Sensing 12 (3), 513, 2020 | 31 | 2020 |
| Scaling up SLIC superpixels using a tile-based approach D Derksen, J Inglada, J Michel IEEE transactions on Geoscience and Remote Sensing 57 (5), 3073-3085, 2019 | 31 | 2019 |
| A metric for evaluating the geometric quality of land cover maps generated with contextual features from high-dimensional satellite image time series without dense reference data D Derksen, J Inglada, J Michel Remote Sensing 11 (16), 1929, 2019 | 13 | 2019 |
| Vision-based neural scene representations for spacecraft A Mergy, G Lecuyer, D Derksen, D Izzo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 12 | 2021 |
| Spot the GEO satellites: From dataset to Kelvins SpotGEO challenge B Chen, D Liu, TJ Chin, M Rutten, D Derksen, M Martens, M von Looz, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 10 | 2021 |
| Few-shot image classification challenge on-board D Derksen, G Meoni, G Lecuyer, A Mergy, M Märtens, D Izzo Workshop-Data Centric AI, NeurIPS, 2021 | 7 | 2021 |
| Spatially precise contextual features based on superpixel neighborhoods for land cover mapping with high resolution satellite image time series D Derksen, J Inglada, J Michel IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 6 | 2018 |
| The OPS-SAT case: A data-centric competition for onboard satellite image classification G Meoni, M Märtens, D Derksen, K See, T Lightheart, A Sécher, A Martin, ... Astrodynamics, 1-22, 2024 | 4 | 2024 |
| Radar Fields: An Extension of Radiance Fields to SAR T Ehret, R Marí, D Derksen, N Gasnier, G Facciolo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Contextual classification of large volumes of satellite imagery for the production of land cover maps over wide areas D Derksen Université Paul Sabatier-Toulouse III, 2019 | 1 | 2019 |
| SAT-NGP: Unleashing Neural Graphics Primitives for Fast Relightable Transient-Free 3D reconstruction from Satellite Imagery C Billouard, D Derksen, E Sarrazin, B Vallet arXiv preprint arXiv:2403.18711, 2024 | | 2024 |
| Classification contextuelle de gros volumes de données d'imagerie satellitaire pour la production de cartes d'occupation des sols sur de grandes étendues D Derksen Université de Toulouse, Université Toulouse III-Paul Sabatier, 2019 | | 2019 |
| Multi-scale superpixel neighborhoods for contextual features for land cover mapping with high resolution satellite image time series D Derksen, J Inglada, M Julien GEOBIA 2018-From pixels to ecosystems and global sustainability, 2018 | | 2018 |
| Évaluation de la qualité géométrique de classifications contextuelles d’occupation du sol en milieu urbain L Schwaab, V Thierion, D Derksen | | |
| OperationalLandCoverMapProductionUsing SentinelImageTimeSeriesSupervised ClassificationwithOut-Of-DateReferenceData J Inglada, B Tardy, D Derksen, C Pelletier, A Vincent, S Valero, J Michel, ... | | |
