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Antonio Mazza
Antonio Mazza
CNR - ISTITUTO DI METODOLOGIE PER L'ANALISI AMBIENTALE
Bestätigte E-Mail-Adresse bei cnr.it
Titel
Zitiert von
Zitiert von
Jahr
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
1652018
Pansharpening by convolutional neural networks in the full resolution framework
M Ciotola, S Vitale, A Mazza, G Poggi, G Scarpa
IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2022
572022
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
542019
TanDEM-X forest mapping using convolutional neural networks
A Mazza, F Sica, P Rizzoli, G Scarpa
Remote Sensing 11 (24), 2980, 2019
452019
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
342018
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
332018
Impact of training set design in CNN-based SAR image despeckling
A Mazza, G Scarpa, L Verdoliva, G Poggi
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 415-418, 2021
52021
Cloud Segmentation of Sentinel-2 Images Using Convolutional Neural Network with Domain Adaptation
A Mazza, P Sepe, G Poggi, G Scarpa
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 7236 …, 2021
22021
Deep learning solutions for tandem-x-based forest classification
A Mazza, F Sica
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
22019
Pansharpening by efficient and fast unsupervised target-adaptive CNN
M Ciotola, G Guarino, A Mazza, G Poggi, G Scarpa
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
12023
Synergic Use of SAR and Optical Data for Feature Extraction
A Mazza, M Ciotola, G Poggi, G Scarpa
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
12023
An Adversarial Training Framework for Sentinel-2 Image Super-Resolution
M Ciotola, A Martinelli, A Mazza, G Scarpa
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
12022
Deep Learning Impact in Forest Monitoring Using TanDEM-X Data
A Mazza, G Scarpa, F Sica, P Rizzoli
2019
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