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ORCIDSergio Vitale
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Journal Articles
- 2024
[j13]Xialei Lu, Sergio Vitale
, Hossein Aghababaei, Giampaolo Ferraioli, Vito Pascazio:
Training Supervised Neural Networks for PolSAR Despeckling With an Hybrid Approach. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- 2023
- [j12]Wenyu Yang, Sergio Vitale, Hossein Aghababaei, Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi:
A Deep Learning Solution for Height Inversion on Forested Areas Using Single and Dual Polarimetric TomoSAR. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j11]Hossein Aghababaei, Giampaolo Ferraioli, Alfred Stein, Sergio Vitale:
Deep-Learning-Based Polarimetric Data Augmentation: Dual2Full-Pol Extension. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j10]Sergio Vitale, Giampaolo Ferraioli, Alejandro C. Frery, Vito Pascazio, Dong-Xiao Yue, Feng Xu:
SAR Despeckling Using Multiobjective Neural Network Trained With Generic Statistical Samples. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j9]Wenyu Yang, Sergio Vitale, Hossein Aghababaei, Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi:
A Deep Learning Solution for Height Estimation on a Forested Area Based on Pol-TomoSAR Data. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - 2022
- [j8]Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio:
Analysis on the Building of Training Dataset for Deep Learning SAR Despeckling. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j7]Hossein Aghababaei, Giampaolo Ferraioli, Sergio Vitale, Roghayeh Zamani, Gilda Schirinzi, Vito Pascazio:
Nonlocal Model-Free Denoising Algorithm for Single- and Multichannel SAR Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (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) - [j5]Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi:
InSAR-MONet: Interferometric SAR Phase Denoising Using a Multiobjective Neural Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - 2021
- [j4]Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio:
Multi-Objective CNN-Based Algorithm for SAR Despeckling. IEEE Trans. Geosci. Remote. Sens. 59(11): 9336-9349 (2021) - 2020
- [j3]Sergio Vitale, Giuseppe Scarpa:
A Detail-Preserving Cross-Scale Learning Strategy for CNN-Based Pansharpening. Remote. Sens. 12(3): 348 (2020) - 2019
- [j2]Sergio Vitale, Davide Cozzolino, Giuseppe Scarpa, Luisa Verdoliva, Giovanni Poggi:
Guided Patchwise Nonlocal SAR Despeckling. IEEE Trans. Geosci. Remote. Sens. 57(9): 6484-6498 (2019) - 2018
- [j1]Giuseppe Scarpa, Sergio Vitale, Davide Cozzolino:
Target-Adaptive CNN-Based Pansharpening. IEEE Trans. Geosci. Remote. Sens. 56(9): 5443-5457 (2018)
Conference and Workshop Papers
- 2024
- [c28]Hossein Aghababaei, Sergio Vitale, Giampaolo Ferraioli:
A Deep Learning Solution to Phase Calibration of SAR Tomography. IGARSS 2024: 1333-1336 - [c27]Wenyu Yang, Giampaolo Ferraioli, Xialei Lu, Vito Pascazio, Gilda Schirinzi, Sergio Vitale, Hossein Aghababaei:
Analysis of A Deep Learning Solution for Tomosar Forest Reconstruction. IGARSS 2024: 1350-1353 - [c26]Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio:
Different Training Solution for Amplitude SAR Despeckling. IGARSS 2024: 2176-2179 - [c25]Yunpeng Zhang, Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi, Sergio Vitale, Mengdao Xing, Hanwen Yu:
Polsar Image Classification with Transformer. IGARSS 2024: 3414-3417 - [c24]Gianpaolo Passarello, Sergio Vitale, Giampaolo Ferraioli, Gilda Schirinzi, Vito Pascazio:
Coastline Extraction Using SAR Images and Deep Learning. IGARSS 2024: 6072-6075 - [c23]Yiyuan Xie, Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi, Sergio Vitale, Mengdao Xing, Hanwen Yu:
Attributed Scattering Center Characteristic Extraction with Deep Learning. IGARSS 2024: 7444-7447 - [c22]Wenyu Yang, Alessandra Budillon, Giampaolo Ferraioli, Gilda Schirinzi, Vito Pascazio, Sergio Vitale:
Classical and AI Based SAR Tomography: A Comparison in Urban Application. IGARSS 2024: 10940-10943 - [c21]Xialei Lu, Giampaolo Ferraioli, Vito Pascazio, Sergio Vitale, Wenyu Yang, Hossein Aghababei:
PolSAR Classification Assessment for Deep Learning Despeckling Filter. IGARSS 2024: 11239-11242 - 2023
- [c20]Luís Gómez Déniz, Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio:
Assessment of Deep Learning Based Solutions for SAR Image Despeckling. IGARSS 2023: 715-717 - [c19]Hossein Aghababaei, Giampaolo Ferraioli, Sergio Vitale:
Deep Learning based Data Augmentation for Restoring SAR Images. IGARSS 2023: 822-824 - [c18]Xialei Lu, Sergio Vitale, Hossein Aghababaei, Wenyu Yang, Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi:
Multi-Objective Neural Network for Polsar Image Restoration. IGARSS 2023: 1465-1468 - [c17]Wenyu Yang, Hossein Aghababaei, Giampaolo Ferraioli, X. Lu, Vito Pascazio, Sergio Vitale, Gilda Schirinzi:
DL Based Forest Height Reconstruction Using Single-Pol Tomosar Images. IGARSS 2023: 2133-2136 - [c16]Sergio Vitale, Giampaolo Ferraioli, Wenyu Yang, Gilda Schirinzi, Vito Pascazio:
A multi-objective deep learning based approach for SAR image reconstruction in urban environment. JURSE 2023: 1-4 - 2022
- [c15]Wenyu Yang, Alessandra Budillon, Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi, Sergio Vitale:
A Deep Learning Solution for Height Reconstruction in SAR Tomography. IGARSS 2022: 595-598 - [c14]Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio:
A CNN Based Solution for InSAR Phase Denoising. IGARSS 2022: 931-934 - [c13]Hossein Aghababaei, Sergio Vitale, Roghayeh Zamani, Giampaolo Ferraioli:
Fully Polarimetric Sar Image Despeckling using Deep Neural Netwrok. IGARSS 2022: 1488-1491 - [c12]Sergio Vitale, Giampaolo Ferraioli, Muhammad Ali, Vito Pascazio, Laura Ricciotti, Giuseppina Roviello, Gilda Schirinzi:
Marine Plastic Detection Using Optical Data. IGARSS 2022: 2662-2665 - 2021
- [c11]Sergio Vitale, Hossein Aghababaei, Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi:
A Multi-Objective Approach for Multi-Channel SAR Despeckling. IGARSS 2021: 419-422 - [c10]Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi, Sergio Vitale, Mengdao Xing, Hanwen Yu, Lifan Zhou:
Joint Phase Unwrapping and Speckle Filtering by Using Convolutional Neural Networks. IGARSS 2021: 3376-3379 - [c9]Sergio Vitale, Dong-Xiao Yue, Giampaolo Ferraioli, Feng Xu, Vito Pascazio, Alejandro C. Frery:
Multi-Objective Neural Network for Despeckling with a General Statistical Model. IGARSS 2021: 5107-5110 - 2020
- [c8]Sergio Vitale, Giuseppe Scarpa:
A Cross-Scale Loss for CNN-Based Pansharpening. IGARSS 2020: 645-648 - [c7]Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio:
Complexity Analysis of an Edge Preserving CNN SAR Despeckling Algorithm. IGARSS 2020: 6922-6925 - 2019
- [c6]Sergio Vitale:
A CNN-Based Pansharpening Method with Perceptual Loss. IGARSS 2019: 3105-3108 - [c5]Alessandra Budillon, Angel Caroline Johnsy, Gilda Schirinzi, Sergio Vitale:
Sar Tomography Based on Deep Learning. IGARSS 2019: 3625-3628 - [c4]Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio:
A New Ratio Image Based CNN Algorithm for SAR Despeckling. IGARSS 2019: 9494-9497 - [c3]Giampaolo Ferraioli, Vito Pascazio, Sergio Vitale:
A Novel Cost Function for Despeckling using Convolutional Neural Networks. JURSE 2019: 1-4 - [c2]Hossein Aghababaee, Bilel Kanoun, Sergio Vitale, Giampaolo Ferraioli:
The use of NL paradigm in SAR applications. RTSI 2019: 120-123 - 2018
- [c1]Sergio Vitale, Giampaolo Ferraioli, Giuseppe Scarpa:
A CNN-Based Model for Pansharpening of WorldView-3 Images. IGARSS 2018: 5108-5111
Informal and Other Publications
- 2024
- [i10]Wenyu Yang, Sergio Vitale, Hossein Aghababaei, Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi:
CATSNet: a context-aware network for Height Estimation in a Forested Area based on Pol-TomoSAR data. CoRR abs/2403.20273 (2024) - [i9]Muhammad Ali, Francesca Razzano, Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi, Silvia Liberata Ullo:
Assessment of Spectral based Solutions for the Detection of Floating Marine Debris. CoRR abs/2408.10187 (2024) - 2021
- [i8]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) - 2020
- [i7]Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio:
Edge Preserving CNN SAR Despeckling Algorithm. CoRR abs/2001.04716 (2020) - [i6]Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio:
Complexity Analysis of an Edge Preserving CNN SAR Despeckling Algorithm. CoRR abs/2004.08345 (2020) - [i5]Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio:
Multi-Objective CNN Based Algorithm for SAR Despeckling. CoRR abs/2006.09050 (2020) - 2019
- [i4]Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio:
A New Ratio Image Based CNN Algorithm For SAR Despeckling. CoRR abs/1906.04111 (2019) - [i3]Giampaolo Ferraioli, Vito Pascazio, Sergio Vitale:
A Novel Cost Function for Despeckling using Convolutional Neural Networks. CoRR abs/1906.04441 (2019) - 2018
- [i2]Sergio Vitale, Davide Cozzolino, Giuseppe Scarpa, Luisa Verdoliva, Giovanni Poggi:
Guided patch-wise nonlocal SAR despeckling. CoRR abs/1811.11872 (2018) - 2017
- [i1]Giuseppe Scarpa, Sergio Vitale, Davide Cozzolino:
Target-adaptive CNN-based pansharpening. CoRR abs/1709.06054 (2017)
Coauthor Index
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last updated on 2024-09-28 01:27 CEST by the dblp team
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