MAZZA, ANTONIO
MAZZA, ANTONIO
Istituto di Metodologie per l'Analisi Ambientale - IMAA
CNN-Based NO2 Estimation from Sentinel-5P Data: A Proof-of-Concept
2024 Guarino, G.; Mazza, A.; Di Giuseppe, G.; Poggi, G.; Vivone, G.; Scarpa, G.
Pansharpening by Efficient and Fast Unsupervised Target-Adaptive CNN
2023 Ciotola, M.; Guarino, G.; Mazza, A.; Poggi, G.; Scarpa, G.
Synergic Use of SAR and Optical Data for Feature Extraction
2023 Mazza, Antonio; Ciotola, Matteo; Poggi, Giovanni; Scarpa, Giuseppe
An Adversarial Training Framework for Sentinel-2 Image Super-Resolution
2022 Ciotola, M.; Martinelli, A.; Mazza, A.; Scarpa, G.
Pansharpening by Convolutional Neural Networks in the Full Resolution Framework
2022 Ciotola, Matteo; Vitale, Sergio; Mazza, Antonio; Poggi, Giovanni; Scarpa, Giuseppe
Cloud Segmentation of Sentinel-2 Images Using Convolutional Neural Network with Domain Adaptation
2021 Mazza, Antonio; Sepe, Pasquale; Poggi, Giovanni; Scarpa, Giuseppe
Impact of Training Set Design in CNN-Based Sar Image Despeckling
2021 Mazza, A.; Scarpa, G.; Verdoliva, L.; Poggi, G.
Deep Learning Solutions for Tandem-X-Based Forest Classification
2019 Mazza, Antonio; Sica, Francescopaolo
Fast Super-Resolution of 20 m Sentinel-2 Bands Using Convolutional Neural Networks
2019 Gargiulo, Massimiliano; Mazza, Antonio; Gaetano, Raffaele; Ruello, Giuseppe; Scarpa, Giuseppe
TanDEM-X Forest Mapping Using Convolutional Neural Networks
2019 Mazza, Antonio; Sica, Francescopaolo; Rizzoli, Paola; Scarpa, Giuseppe
A CNN-Based Fusion Method for Feature Extraction from Sentinel Data
2018 Scarpa, Giuseppe; Gargiulo, Massimiliano; Mazza, Antonio; Gaetano, Raffaele
A CNN-Based Fusion Method for Super-Resolution of Sentinel-2 Data
2018 Gargiulo, Massimiliano; Mazza, Antonio; Gaetano, Raffaele; Ruello, Giuseppe; Scarpa, Giuseppe
Estimating the NDVI from SAR by Convolutional Neural Networks
2018 Mazza, Antonio; Gargiulo, Massimiliano; Scarpa, Giuseppe; Gaetano, Raffaele
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| CNN-Based NO2 Estimation from Sentinel-5P Data: A Proof-of-Concept | 1-gen-2024 | Guarino, G.; Mazza, A.; Di Giuseppe, G.; Poggi, G.; Vivone, G.; Scarpa, G. | |
| Pansharpening by Efficient and Fast Unsupervised Target-Adaptive CNN | 1-gen-2023 | Ciotola, M.; Guarino, G.; Mazza, A.; Poggi, G.; Scarpa, G. | |
| Synergic Use of SAR and Optical Data for Feature Extraction | 1-gen-2023 | Mazza, Antonio; Ciotola, Matteo; Poggi, Giovanni; Scarpa, Giuseppe | |
| An Adversarial Training Framework for Sentinel-2 Image Super-Resolution | 1-gen-2022 | Ciotola, M.; Martinelli, A.; Mazza, A.; Scarpa, G. | |
| Pansharpening by Convolutional Neural Networks in the Full Resolution Framework | 1-gen-2022 | Ciotola, Matteo; Vitale, Sergio; Mazza, Antonio; Poggi, Giovanni; Scarpa, Giuseppe | |
| Cloud Segmentation of Sentinel-2 Images Using Convolutional Neural Network with Domain Adaptation | 1-gen-2021 | Mazza, Antonio; Sepe, Pasquale; Poggi, Giovanni; Scarpa, Giuseppe | |
| Impact of Training Set Design in CNN-Based Sar Image Despeckling | 1-gen-2021 | Mazza, A.; Scarpa, G.; Verdoliva, L.; Poggi, G. | |
| Deep Learning Solutions for Tandem-X-Based Forest Classification | 1-gen-2019 | Mazza, Antonio; Sica, Francescopaolo | |
| Fast Super-Resolution of 20 m Sentinel-2 Bands Using Convolutional Neural Networks | 1-gen-2019 | Gargiulo, Massimiliano; Mazza, Antonio; Gaetano, Raffaele; Ruello, Giuseppe; Scarpa, Giuseppe | |
| TanDEM-X Forest Mapping Using Convolutional Neural Networks | 1-gen-2019 | Mazza, Antonio; Sica, Francescopaolo; Rizzoli, Paola; Scarpa, Giuseppe | |
| A CNN-Based Fusion Method for Feature Extraction from Sentinel Data | 1-gen-2018 | Scarpa, Giuseppe; Gargiulo, Massimiliano; Mazza, Antonio; Gaetano, Raffaele | |
| A CNN-Based Fusion Method for Super-Resolution of Sentinel-2 Data | 1-gen-2018 | Gargiulo, Massimiliano; Mazza, Antonio; Gaetano, Raffaele; Ruello, Giuseppe; Scarpa, Giuseppe | |
| Estimating the NDVI from SAR by Convolutional Neural Networks | 1-gen-2018 | Mazza, Antonio; Gargiulo, Massimiliano; Scarpa, Giuseppe; Gaetano, Raffaele |