A deep learning solution for height estimation on a forested area based on Pol-TomoSAR data W Yang, S Vitale, H Aghababaei, G Ferraioli, V Pascazio, G Schirinzi IEEE Transactions on Geoscience and Remote Sensing 61, 1-14, 2023 | 5 | 2023 |
A Deep Learning Solution for Height Inversion on Forested Areas Using Single and Dual Polarimetric TomoSAR W Yang, S Vitale, H Aghababaei, G Ferraioli, V Pascazio, G Schirinzi IEEE Geoscience and Remote Sensing Letters, 2023 | 2 | 2023 |
A deep learning solution for height reconstruction in SAR tomography W Yang, A Budillon, G Ferraioli, V Pascazio, G Schirinzi, S Vitale IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 2 | 2022 |
CATSNet: a context-aware network for Height Estimation in a Forested Area based on Pol-TomoSAR data W Yang, S Vitale, H Aghababaei, G Ferraioli, V Pascazio, G Schirinzi arXiv preprint arXiv:2403.20273, 2024 | | 2024 |
DL Based Forest Height Reconstruction Using Single-Pol Tomosar Images W Yang, H Aghababaei, G Ferraioli, X Lu, V Pascazio, S Vitale, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
Multi-Objective Neural Network for Polsar Image Restoration X Lu, S Vitale, H Aghababaei, W Yang, G Ferraioli, V Pascazio, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
A multi-objective deep learning based approach for SAR image reconstruction in urban environment S Vitale, G Ferraioli, W Yang, G Schirinzi, V Pascazio 2023 Joint Urban Remote Sensing Event (JURSE), 1-4, 2023 | | 2023 |