| Land cover classification via multitemporal spatial data by deep recurrent neural networks D Ienco, R Gaetano, C Dupaquier, P Maurel IEEE Geoscience and Remote Sensing Letters 14 (10), 1685-1689, 2017 | 309 | 2017 |
| Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping via a multi-source deep learning architecture D Ienco, R Interdonato, R Gaetano, DHT Minh ISPRS Journal of Photogrammetry and Remote Sensing 158, 11-22, 2019 | 303 | 2019 |
| A CNN-based fusion method for feature extraction from sentinel data G Scarpa, M Gargiulo, A Mazza, R Gaetano Remote Sensing 10 (2), 236, 2018 | 172 | 2018 |
| DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn R Interdonato, D Ienco, R Gaetano, K Ose ISPRS journal of photogrammetry and remote sensing 149, 91-104, 2019 | 170 | 2019 |
| Marker-controlled watershed-based segmentation of multiresolution remote sensing images R Gaetano, G Masi, G Poggi, L Verdoliva, G Scarpa IEEE Transactions on Geoscience and Remote Sensing 53 (6), 2987-3004, 2014 | 134 | 2014 |
| Deep recurrent neural networks for winter vegetation quality mapping via multitemporal SAR Sentinel-1 DHT Minh, D Ienco, R Gaetano, N Lalande, E Ndikumana, F Osman, ... IEEE Geoscience and Remote Sensing Letters 15 (3), 464-468, 2018 | 129 | 2018 |
| : A Deep Learning Architecture for Multiscale Multimodal Multitemporal Satellite Data Fusion P Benedetti, D Ienco, R Gaetano, K Ose, RG Pensa, S Dupuy IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 127 | 2018 |
| Hierarchical texture-based segmentation of multiresolution remote-sensing images R Gaetano, G Scarpa, G Poggi IEEE Transactions on geoscience and remote sensing 47 (7), 2129-2141, 2009 | 117 | 2009 |
| Hierarchical multiple Markov chain model for unsupervised texture segmentation G Scarpa, R Gaetano, M Haindl, J Zerubia IEEE Transactions on Image Processing 18 (8), 1830-1843, 2009 | 82 | 2009 |
| A two-branch CNN architecture for land cover classification of PAN and MS imagery R Gaetano, D Ienco, K Ose, R Cresson Remote Sensing 10 (11), 1746, 2018 | 78 | 2018 |
| Detection of environmental hazards through the feature-based fusion of optical and SAR data: A case study in southern Italy A Errico, CV Angelino, L Cicala, G Persechino, C Ferrara, M Lega, ... International Journal of Remote Sensing 36 (13), 3345-3367, 2015 | 68 | 2015 |
| Land cover mapping using Sentinel‐2 images and the semi‐automatic classification plugin: A Northern Burkina Faso case study L Leroux, L Congedo, B Bellón, R Gaetano, A Bégué QGIS and Applications in Agriculture and Forest 2, 119-151, 2018 | 59 | 2018 |
| Fast super-resolution of 20 m Sentinel-2 bands using convolutional neural networks M Gargiulo, A Mazza, R Gaetano, G Ruello, G Scarpa Remote Sensing 11 (22), 2635, 2019 | 56 | 2019 |
| A CNN-based approach for the estimation of canopy heights and wood volume from GEDI waveforms I Fayad, D Ienco, N Baghdadi, R Gaetano, CA Alvares, JL Stape, ... Remote Sensing of Environment 265, 112652, 2021 | 46 | 2021 |
| 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 |
| Morphological road segmentation in urban areas from high resolution satellite images R Gaetano, J Zerubia, G Scarpa, G Poggi 2011 17th International Conference on Digital Signal Processing (DSP), 1-8, 2011 | 39 | 2011 |
| Optical-driven nonlocal SAR despeckling L Verdoliva, R Gaetano, G Ruello, G Poggi IEEE Geoscience and Remote Sensing Letters 12 (2), 314-318, 2014 | 38 | 2014 |
| 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 |
| Estimating the NDVI from SAR by convolutional neural networks A Mazza, M Gargiulo, G Scarpa, R Gaetano IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 36 | 2018 |
| A CNN-based fusion method for super-resolution of Sentinel-2 data M Gargiulo, A Mazza, R Gaetano, G Ruello, G Scarpa IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 33 | 2018 |
