VITALE, SERGIO
VITALE, SERGIO
Dipartimento di Ingegneria
A CNN-based model for pansharpening of worldview-3 images
2018-01-01 Vitale, S.; Ferraioli, G.; Scarpa, G.
A Deep Learning Solution for Height Estimation on a Forested Area Based on Pol-TomoSAR Data
2023-01-01 Yang, Wenyu; Vitale, Sergio; Aghababaei, Hossein; Ferraioli, Giampaolo; Pascazio, Vito; Schirinzi, Gilda
A Deep Learning Solution for Height Inversion on Forested Areas Using Single and Dual Polarimetric TomoSAR
2023-01-01 Yang, Wenyu; Vitale, Sergio; Aghababaei, Hossein; Ferraioli, Giampaolo; Pascazio, Vito; Schirinzi, Gilda
A NEW RATIO IMAGE BASED CNN ALGORITHM FOR SAR DESPECKLING
2019-01-01 Vitale, S; Ferraioli, G; Pascazio, V
A novel cost function for despeckling using convolutional neural networks
2019-01-01 Ferraioli, G.; Pascazio, V.; Vitale, Sergio
Analysis on the Building of Training Dataset for Deep Learning SAR Despeckling
2022-01-01 Vitale, S.; Ferraioli, G.; Pascazio, V.
Deep-Learning-Based Polarimetric Data Augmentation: Dual2Full-Pol Extension
2023-01-01 Aghababaei, Hossein; Ferraioli, Giampaolo; Stein, Alfred; Vitale, Sergio
Edge Preserving Cnn Sar Despeckling Algorithm
2020-01-01 Vitale, S.; Ferraioli, G.; Pascazio, V.
Hand Gesture Recognition via Radar Sensors and Convolutional Neural Networks
2020-01-01 Franceschini, S.; Ambrosanio, M.; Vitale, S.; Baselice, F.; Gifuni, A.; Grassini, G.; Pascazio, V.
InSAR-MONet: Interferometric SAR Phase Denoising Using a Multiobjective Neural Network
2022-01-01 Vitale, Sergio; Ferraioli, Giampaolo; Pascazio, Vito; Schirinzi, Gilda
Marine Plastic Detection Using Optical Data
2022-01-01 Vitale, Sergio; Ferraioli, G; Ali, M; Pascazio, V; Ricciotti, L; Roviello, Giuseppina; Schirinzi, G
Multi-Objective CNN-Based Algorithm for SAR Despeckling
2020-01-01 Vitale, S.; Ferraioli, G.; Pascazio, V.
Non Local Model Free Denoising Algorithm for Single and Multi-Channel SAR Data
2021-01-01 Aghababaei, H.; Ferraioli, G.; Vitale, S.; Zamani, R.; Schirinzi, G.; Pascazio, V.
Pansharpening by Convolutional Neural Networks in the Full Resolution Framework
2022-01-01 Ciotola, M.; Vitale, S.; Mazza, A.; Poggi, G.; Scarpa, G.
SAR Despeckling Using Multiobjective Neural Network Trained With Generic Statistical Samples
2023-01-01 Vitale, Sergio; Ferraioli, Giampaolo; Frery, Alejandro C.; Pascazio, Vito; Yue, Dong-Xiao; Xu, Feng
The use of NL paradigm in SAR applications
2019-01-01 Aghababaee, H.; Kanoun, B.; Vitale, S.; Ferraioli, G.
Training Supervised Neural Networks for PolSAR Despeckling With an Hybrid Approach
2024-01-01 Lu, Xialei; Vitale, Sergio; Aghababei, Hossein; Ferraioli, Giampaolo; Pascazio, Vito
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A CNN-based model for pansharpening of worldview-3 images | 1-gen-2018 | Vitale, S.; Ferraioli, G.; Scarpa, G. | |
| A Deep Learning Solution for Height Estimation on a Forested Area Based on Pol-TomoSAR Data | 1-gen-2023 | Yang, Wenyu; Vitale, Sergio; Aghababaei, Hossein; Ferraioli, Giampaolo; Pascazio, Vito; Schirinzi, Gilda | |
| A Deep Learning Solution for Height Inversion on Forested Areas Using Single and Dual Polarimetric TomoSAR | 1-gen-2023 | Yang, Wenyu; Vitale, Sergio; Aghababaei, Hossein; Ferraioli, Giampaolo; Pascazio, Vito; Schirinzi, Gilda | |
| A NEW RATIO IMAGE BASED CNN ALGORITHM FOR SAR DESPECKLING | 1-gen-2019 | Vitale, S; Ferraioli, G; Pascazio, V | |
| A novel cost function for despeckling using convolutional neural networks | 1-gen-2019 | Ferraioli, G.; Pascazio, V.; Vitale, Sergio | |
| Analysis on the Building of Training Dataset for Deep Learning SAR Despeckling | 1-gen-2022 | Vitale, S.; Ferraioli, G.; Pascazio, V. | |
| Deep-Learning-Based Polarimetric Data Augmentation: Dual2Full-Pol Extension | 1-gen-2023 | Aghababaei, Hossein; Ferraioli, Giampaolo; Stein, Alfred; Vitale, Sergio | |
| Edge Preserving Cnn Sar Despeckling Algorithm | 1-gen-2020 | Vitale, S.; Ferraioli, G.; Pascazio, V. | |
| Hand Gesture Recognition via Radar Sensors and Convolutional Neural Networks | 1-gen-2020 | Franceschini, S.; Ambrosanio, M.; Vitale, S.; Baselice, F.; Gifuni, A.; Grassini, G.; Pascazio, V. | |
| InSAR-MONet: Interferometric SAR Phase Denoising Using a Multiobjective Neural Network | 1-gen-2022 | Vitale, Sergio; Ferraioli, Giampaolo; Pascazio, Vito; Schirinzi, Gilda | |
| Marine Plastic Detection Using Optical Data | 1-gen-2022 | Vitale, Sergio; Ferraioli, G; Ali, M; Pascazio, V; Ricciotti, L; Roviello, Giuseppina; Schirinzi, G | |
| Multi-Objective CNN-Based Algorithm for SAR Despeckling | 1-gen-2020 | Vitale, S.; Ferraioli, G.; Pascazio, V. | |
| Non Local Model Free Denoising Algorithm for Single and Multi-Channel SAR Data | 1-gen-2021 | Aghababaei, H.; Ferraioli, G.; Vitale, S.; Zamani, R.; Schirinzi, G.; Pascazio, V. | |
| Pansharpening by Convolutional Neural Networks in the Full Resolution Framework | 1-gen-2022 | Ciotola, M.; Vitale, S.; Mazza, A.; Poggi, G.; Scarpa, G. | |
| SAR Despeckling Using Multiobjective Neural Network Trained With Generic Statistical Samples | 1-gen-2023 | Vitale, Sergio; Ferraioli, Giampaolo; Frery, Alejandro C.; Pascazio, Vito; Yue, Dong-Xiao; Xu, Feng | |
| The use of NL paradigm in SAR applications | 1-gen-2019 | Aghababaee, H.; Kanoun, B.; Vitale, S.; Ferraioli, G. | |
| Training Supervised Neural Networks for PolSAR Despeckling With an Hybrid Approach | 1-gen-2024 | Lu, Xialei; Vitale, Sergio; Aghababei, Hossein; Ferraioli, Giampaolo; Pascazio, Vito |