| Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships YJE Gbodjo, D Ienco, L Leroux, R Interdonato, R Gaetano, B Ndao Remote Sensing 12 (17), 2814, 2020 | 41 | 2020 |
| Weakly supervised learning for land cover mapping of satellite image time series via attention-based CNN D Ienco, YJE Gbodjo, R Gaetano, R Interdonato IEEE Access 8, 179547-179560, 2020 | 37 | 2020 |
| Attentive spatial temporal graph CNN for land cover mapping from multi temporal remote sensing data AM Censi, D Ienco, YJE Gbodjo, RG Pensa, R Interdonato, R Gaetano IEEE Access 9, 23070-23082, 2021 | 26 | 2021 |
| Multisensor land cover classification with sparsely annotated data based on convolutional neural networks and self-distillation YJE Gbodjo, O Montet, D Ienco, R Gaetano, S Dupuy IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 22 | 2021 |
| Toward spatio–spectral analysis of sentinel-2 time series data for land cover mapping YJE Gbodjo, D Ienco, L Leroux IEEE Geoscience and Remote Sensing Letters 17 (2), 307-311, 2019 | 18 | 2019 |
| Combining pixel-and object-level information for land-cover mapping using time-series of Sentinel-2 satellite data A Abidi, A Ben Abbes, YJE Gbodjo, D Ienco, IR Farah Remote Sensing Letters 13 (2), 162-172, 2022 | 7 | 2022 |
| Benchmarking statistical modelling approaches with multi-source remote sensing data for millet yield monitoring: a case study of the groundnut basin in central Senegal YJE Gbodjo, D Ienco, L Leroux International Journal of Remote Sensing 42 (24), 9285-9308, 2021 | 6 | 2021 |
| Generalized knowledge distillation for multi-sensor remote sensing classification: an application to land cover mapping D Ienco, YJE Gbodjo, R Gaetano, R Interdonato ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 | 3 | 2020 |
| Attentive weakly supervised land cover mapping for object-based satellite image time series data with spatial interpretation D Ienco, YJE Gbodjo, R Interdonato, R Gaetano arXiv preprint arXiv:2004.14672, 2020 | 3 | 2020 |
| Fine grained classification for multi-source land cover mapping YJE Gbodjo, D Ienco, L Leroux, R Interdonato, R Gaetano arXiv preprint arXiv:2004.01963, 2020 | 3 | 2020 |
| RNN-based Multi-Source Land Cover mapping: An application to West African landscape⋆ YJE Gbodjo, L Leroux, R Gaetano, B Ndao | 1 | 2019 |
| SEMANTIC 3D RECONSTRUCTION USING SATELLITE IMAGERY C Dechesne, G Grzeczkowicz, S Akodad, YJE Gbodjo, B Vallet, ... Big Data from Space 2023 (BiDS), 125-128, 2023 | | 2023 |
| Dealing with missing modalities at test time for land cover mapping: A case study on multi-source optical data YJE Gbodjo, D Ienco 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 621-626, 2022 | | 2022 |
| Leverage Multi-Source Remote Sensing data via deep learning to improve Crop Monitoring Systems Y Gbodjo < bound method Organization. get_name_with_acronym of< Organization: TEL …, 2021 | | 2021 |
| Amélioration des systèmes de suivi des cultures à à l’aide de la télédétection multi-source et des techniques d’apprentissage profond Y Gbodjo Université Montpellier, 2021 | | 2021 |
| Classification multi-modale de l'occupation du sol à partir de réseaux de neurones convolutifs et de l'auto-distillation YJE Gbodjo, D Ienco ORASIS 2021, 2021 | | 2021 |
| Evaluation du potentiel d'une série temporelle d'images multi-source à haute résolution spatiale pour le suivi des cultures annuelles en petite agriculture familiale: cas du … YJE Gbodjo Université Toulouse Jean Jaurés, 2018 | | 2018 |
| Attentive Spatial Temporal Graph CNN for Land Cover Mapping From Multi Temporal Remote Sensing Data YJE GBODJO, RG PENSA, R INTERDONATO, R GAETANO | | |
Dino IencoUMR TETIS, EVERGREEN, INRAE, INRIAVerified email at inrae.fr
