| Prediction of categorized sea ice concentration from Sentinel-1 SAR images based on a fully convolutional network I De Gelis, A Colin, N Longépé IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 60 | 2021 |
| Siamese KPConv: 3D multiple change detection from raw point clouds using deep learning I de Gélis, S Lefèvre, T Corpetti ISPRS Journal of Photogrammetry and Remote Sensing 197, 274-291, 2023 | 52 | 2023 |
| Change detection in urban point clouds: An experimental comparison with simulated 3d datasets I de Gélis, S Lefèvre, T Corpetti Remote Sensing 13 (13), 2629, 2021 | 52 | 2021 |
| An active–passive microwave land surface database from GPM SJ Munchak, S Ringerud, L Brucker, Y You, I de Gelis, C Prigent IEEE Transactions on Geoscience and Remote Sensing 58 (9), 6224-6242, 2020 | 37 | 2020 |
| Change detection needs change information: improving deep 3D point cloud change detection I De Gélis, T Corpetti, S Lefèvre IEEE Transactions on Geoscience and Remote Sensing 62, 1-10, 2024 | 18 | 2024 |
| Deep unsupervised learning for 3D ALS point clouds change detection I de Gélis, S Saha, M Shahzad, T Corpetti, S Lefèvre, XX Zhu ISPRS Open Journal of Photogrammetry and Remote Sensing 9, 100044, 2023 | 18 | 2023 |
| 3D Urban Change Detection with Point Cloud Siamese Networks I de Gélis, S Lefèvre, T Corpetti ISPRS-International Archives of the Photogrammetry, Remote Sensing and …, 2021 | 15 | 2021 |
| Benchmarking change detection in urban 3d point clouds I De Gélis, S Lefèvre, T Corpetti, T Ristorcelli, C Thénoz, P Lassalle 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 3352 …, 2021 | 12 | 2021 |
| DC3DCD: Unsupervised learning for multiclass 3D point cloud change detection I de Gélis, S Lefèvre, T Corpetti ISPRS Journal of Photogrammetry and Remote Sensing 206, 168-183, 2023 | 10 | 2023 |
| Cliff Change Detection Using Siamese Kpconv Deep Network on 3d Point Clouds I de Gélis, Z Bessin, P Letortu, M Jaud, C Delacourt, S Costa, O Maquaire, ... ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2022 | 8 | 2022 |
| Forward modelling of passive microwave emissivities over snow-covered areas at continental scale I de Gélis, C Prigent, C Jimenez, M Sandells Remote Sensing of Environment 328, 114821, 2025 | 2 | 2025 |
| Détection de changements urbains 3D par un réseau Siamois sur des nuages de point I de Gelis, S Lefèvre, T Corpetti ORASIS 2021, 2021 | 2 | 2021 |
| Parameterization of the winter Arctic sea ice microwave emissivity between 1.4 and 36 GHz, for large scale applications L Kilic, C Jimenez, C Prigent, A Korosov, P Rampal, I De Gelis, G Garric Earth and Space Science 12 (11), e2025EA004259, 2025 | 1 | 2025 |
| Snow and Sea Ice Reference-Quality Emission and Backscatter Modeling M Sandells, C Mätzler, G Arduini, I De Gelis, S English, S Kern, SM Lee, ... Bulletin of the American Meteorological Society 106 (9), E1972-E1980, 2025 | | 2025 |
| Landslide Detection in 3D Point Clouds With Deep Siamese Convolutional Network I De Gélis, T Bernard, D Lague, T Corpetti, S Lefèvre IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024 | | 2024 |
| Beyond Siamese KPConv: Early Encoding and Less Supervision I de Gélis, S Lefèvre, T Corpetti Northern Lights Deep Learning Conference (NLDL), 2024 | | 2024 |
| " Low Supervision" Deep Cluster Change Detection (CDCluster) On Remote Sensing RGB Data: Towards The Unsupervising Clustering Framework GF Garcia, I De Gelis, T Corpetti, S Lefèvre, A Le Bris IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| Apprentissage profond pour la détection de changements dans des nuages de points 3D I de Gélis Lorient, 2023 | | 2023 |
| Deep learning for change detection in 3D point clouds I De Gélis Université de Bretagne Sud, 2023 | | 2023 |
| Apport de données atmosphériques sur le temps de convergence du PPP centimétrique temps réel I de Gélis, F Fund, PS de Oliveira Junior, R Legros XYZ 161, 59-66, 2019 | | 2019 |
Thomas CorpettiCNRSVerified email at univ-rennes2.fr
