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ORCIDAntonio Mazza
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2020 – today
- 2024
[c11]Giuseppe Guarino, Antonio Mazza, Giuliano Di Giuseppe, Giovanni Poggi, Gemine Vivone, Giuseppe Scarpa:
CNN-Based NO2 Estimation from Sentinel-5P Data: A Proof-of-Concept. IGARSS 2024: 5744-5747- 2023
- [c10]Antonio Mazza, Matteo Ciotola, Giovanni Poggi, Giuseppe Scarpa:
Synergic Use of SAR and Optical Data for Feature Extraction. IGARSS 2023: 2061-2064 - [c9]Matteo Ciotola, Giuseppe Guarino, Antonio Mazza, Giovanni Poggi, Giuseppe Scarpa:
Pansharpening by Efficient and Fast Unsupervised Target-Adaptive CNN. IGARSS 2023: 5579-5582 - [i3]Fabiola Sapienza, Giacomo Bacci, Filippo Giannetti, Vincenzo Lottici, Attilio Vaccaro, Giovanni Serafino, Alberto Ortolani
, Francesca Caparrini, Andrea Antonini, Samantha Melani, Antonio Mazza, Luca Baldini, Elisa Adirosi, Luca Facheris:
A Feasibility Study on Opportunistic Rainfall Measurement From Satellite TV Broadcasts. CoRR abs/2303.04457 (2023) - 2022
- [j6]Matteo Ciotola, Sergio Vitale, Antonio Mazza, Giovanni Poggi, Giuseppe Scarpa:
Pansharpening by Convolutional Neural Networks in the Full Resolution Framework. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [c8]Matteo Ciotola, Antonio Martinelli, Antonio Mazza, Giuseppe Scarpa:
An Adversarial Training Framework for Sentinel-2 Image Super-Resolution. IGARSS 2022: 3782-3785 - 2021
- [c7]Antonio Mazza, Giuseppe Scarpa, Luisa Verdoliva, Giovanni Poggi:
Impact of Training Set Design in CNN-Based Sar Image Despeckling. IGARSS 2021: 415-418 - [c6]Antonio Mazza, Pasquale Sepe, Giovanni Poggi, Giuseppe Scarpa:
Cloud Segmentation of Sentinel-2 Images Using Convolutional Neural Network with Domain Adaptation. IGARSS 2021: 7236-7239 - [i2]Matteo Ciotola, Sergio Vitale, Antonio Mazza, Giovanni Poggi, Giuseppe Scarpa:
Pansharpening by convolutional neural networks in the full resolution framework. CoRR abs/2111.08334 (2021)
2010 – 2019
- 2019
- [j5]Massimiliano Gargiulo, Antonio Mazza, Raffaele Gaetano, Giuseppe Ruello, Giuseppe Scarpa:
Fast Super-Resolution of 20 m Sentinel-2 Bands Using Convolutional Neural Networks. Remote. Sens. 11(22): 2635 (2019) - [j4]Antonio Mazza, Francescopaolo Sica, Paola Rizzoli, Giuseppe Scarpa:
TanDEM-X Forest Mapping Using Convolutional Neural Networks. Remote. Sens. 11(24): 2980 (2019) - [c5]Antonio Mazza, Francescopaolo Sica:
Deep Learning Solutions for Tandem-X-Based Forest Classification. IGARSS 2019: 2631-2634 - [i1]Antonio Mazza, Francescopaolo Sica:
Deep Learning Solutions for TanDEM-X-based Forest Classification. CoRR abs/1902.00274 (2019) - 2018
- [j3]Giuseppe Scarpa, Massimiliano Gargiulo, Antonio Mazza, Raffaele Gaetano:
A CNN-Based Fusion Method for Feature Extraction from Sentinel Data. Remote. Sens. 10(2): 236 (2018) - [c4]Massimiliano Gargiulo, Antonio Mazza, Raffaele Gaetano, Giuseppe Ruello, Giuseppe Scarpa:
A CNN-Based Fusion Method for Super-Resolution of Sentinel-2 Data. IGARSS 2018: 4713-4716 - 2014
- [j2]Matteo Mario Savino, Alessandro Brun, Antonio Mazza:
Dynamic workforce allocation in a constrained flow shop with multi-agent system. Comput. Ind. 65(6): 967-975 (2014) - [j1]Matteo Mario Savino, Antonio Mazza:
Toward Environmental and Quality Sustainability: An Integrated Approach for Continuous Improvement. IEEE Trans. Engineering Management 61(1): 171-181 (2014) - 2013
- [c3]Haiqing Zhang, Yacine Ouzrout, Abdelaziz Bouras, Antonio Mazza, Matteo Mario Savino:
PLM Components Selection Based on a Maturity Assessment and AHP Methodology. PLM 2013: 439-448 - [c2]Matteo Mario Savino, Antonio Mazza:
Sustainability Enhancement through Environmental Impacts Evaluation. APMS (1) 2013: 235-242 - 2012
- [c1]Matteo Mario Savino, Antonio Mazza:
Agent Based Resources Allocation in Job Shop with Re-entrant Features: A Benchmarking Analysis. APMS (1) 2012: 350-358
Coauthor Index
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last updated on 2024-09-28 02:21 CEST by the dblp team
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