A CNN-Based Model for Pansharpening of WorldView-3 Images. - Sergio Vitale; Giampaolo Ferraioli; Giuseppe Scarpa (IGARSS, 2018)

Guided patch-wise nonlocal SAR despeckling. - Sergio Vitale; Davide Cozzolino; Giuseppe Scarpa; Luisa Verdoliva; Giovanni Poggi (CoRR, 2018)

Target-Adaptive CNN-Based Pansharpening. - Giuseppe Scarpa; Sergio Vitale; Davide Cozzolino (IEEE Trans. Geosci. Remote. Sens., 2018)

Sar Tomography Based on Deep Learning. - Alessandra Budillon; Angel Caroline Johnsy; Gilda Schirinzi; Sergio Vitale (IGARSS, 2019)

A CNN-Based Pansharpening Method with Perceptual Loss. - Sergio Vitale (IGARSS, 2019)

A New Ratio Image Based CNN Algorithm for SAR Despeckling. - Sergio Vitale; Giampaolo Ferraioli; Vito Pascazio (IGARSS, 2019)

A Novel Cost Function for Despeckling using Convolutional Neural Networks. - Giampaolo Ferraioli; Vito Pascazio; Sergio Vitale (JURSE, 2019)

The use of NL paradigm in SAR applications. - Hossein Aghababaee; Bilel Kanoun; Sergio Vitale; Giampaolo Ferraioli (RTSI, 2019)

Guided Patchwise Nonlocal SAR Despeckling. - Sergio Vitale; Davide Cozzolino; Giuseppe Scarpa; Luisa Verdoliva; Giovanni Poggi (IEEE Trans. Geosci. Remote. Sens., 2019)

Complexity Analysis of an Edge Preserving CNN SAR Despeckling Algorithm. - Sergio Vitale; Giampaolo Ferraioli; Vito Pascazio (IGARSS, 2020)

A Cross-Scale Loss for CNN-Based Pansharpening. - Sergio Vitale; Giuseppe Scarpa (IGARSS, 2020)

Edge Preserving CNN SAR Despeckling Algorithm. - Sergio Vitale; Giampaolo Ferraioli; Vito Pascazio (CoRR, 2020)

A Detail-Preserving Cross-Scale Learning Strategy for CNN-Based Pansharpening. - Sergio Vitale; Giuseppe Scarpa (Remote. Sens., 2020)

Joint Phase Unwrapping and Speckle Filtering by Using Convolutional Neural Networks. - Giampaolo Ferraioli; Vito Pascazio; Gilda Schirinzi; Sergio Vitale; Mengdao Xing; Hanwen Yu; Lifan Zhou (IGARSS, 2021)

A Multi-Objective Approach for Multi-Channel SAR Despeckling. - Sergio Vitale; Hossein Aghababaei; Giampaolo Ferraioli; Vito Pascazio; Gilda Schirinzi (IGARSS, 2021)

Multi-Objective Neural Network for Despeckling with a General Statistical Model. - Sergio Vitale; Dong-Xiao Yue; Giampaolo Ferraioli; Feng Xu 001; Vito Pascazio; Alejandro C. Frery (IGARSS, 2021)

Multi-Objective CNN-Based Algorithm for SAR Despeckling. - Sergio Vitale; Giampaolo Ferraioli; Vito Pascazio (IEEE Trans. Geosci. Remote. Sens., 2021)

Fully Polarimetric Sar Image Despeckling using Deep Neural Netwrok. - Hossein Aghababaei; Sergio Vitale; Roghayeh Zamani; Giampaolo Ferraioli (IGARSS, 2022)

Marine Plastic Detection Using Optical Data. - Sergio Vitale; Giampaolo Ferraioli; Muhammad Ali; Vito Pascazio; Laura Ricciotti; Giuseppina Roviello; Gilda Schirinzi (IGARSS, 2022)

A CNN Based Solution for InSAR Phase Denoising. - Sergio Vitale; Giampaolo Ferraioli; Vito Pascazio (IGARSS, 2022)

A Deep Learning Solution for Height Reconstruction in SAR Tomography. - Wenyu Yang; Alessandra Budillon; Giampaolo Ferraioli; Vito Pascazio; Gilda Schirinzi; Sergio Vitale (IGARSS, 2022)

Analysis on the Building of Training Dataset for Deep Learning SAR Despeckling. - Sergio Vitale; Giampaolo Ferraioli; Vito Pascazio (IEEE Geosci. Remote. Sens. Lett., 2022)

Nonlocal Model-Free Denoising Algorithm for Single- and Multichannel SAR Data. - Hossein Aghababaei; Giampaolo Ferraioli; Sergio Vitale; Roghayeh Zamani; Gilda Schirinzi; Vito Pascazio (IEEE Trans. Geosci. Remote. Sens., 2022)

Pansharpening by Convolutional Neural Networks in the Full Resolution Framework. - Matteo Ciotola; Sergio Vitale; Antonio Mazza; Giovanni Poggi; Giuseppe Scarpa (IEEE Trans. Geosci. Remote. Sens., 2022)

InSAR-MONet: Interferometric SAR Phase Denoising Using a Multiobjective Neural Network. - Sergio Vitale; Giampaolo Ferraioli; Vito Pascazio; Gilda Schirinzi (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep Learning based Data Augmentation for Restoring SAR Images. - Hossein Aghababaei; Giampaolo Ferraioli; Sergio Vitale (IGARSS, 2023)

Assessment of Deep Learning Based Solutions for SAR Image Despeckling. - Luís Gómez Déniz; Sergio Vitale; Giampaolo Ferraioli; Vito Pascazio (IGARSS, 2023)

Multi-Objective Neural Network for Polsar Image Restoration. - Xialei Lu; Sergio Vitale; Hossein Aghababaei; Wenyu Yang; Giampaolo Ferraioli; Vito Pascazio; Gilda Schirinzi (IGARSS, 2023)

DL Based Forest Height Reconstruction Using Single-Pol Tomosar Images. - Wenyu Yang; Hossein Aghababaei; Giampaolo Ferraioli; X. Lu; Vito Pascazio; Sergio Vitale; Gilda Schirinzi (IGARSS, 2023)

A multi-objective deep learning based approach for SAR image reconstruction in urban environment. - Sergio Vitale; Giampaolo Ferraioli; Wenyu Yang; Gilda Schirinzi; Vito Pascazio (JURSE, 2023)

A Deep Learning Solution for Height Inversion on Forested Areas Using Single and Dual Polarimetric TomoSAR. - Wenyu Yang; Sergio Vitale; Hossein Aghababaei; Giampaolo Ferraioli; Vito Pascazio; Gilda Schirinzi (IEEE Geosci. Remote. Sens. Lett., 2023)

Deep-Learning-Based Polarimetric Data Augmentation: Dual2Full-Pol Extension. - Hossein Aghababaei; Giampaolo Ferraioli; Alfred Stein; Sergio Vitale (IEEE Trans. Geosci. Remote. Sens., 2023)

SAR Despeckling Using Multiobjective Neural Network Trained With Generic Statistical Samples. - Sergio Vitale; Giampaolo Ferraioli; Alejandro C. Frery; Vito Pascazio; Dong-Xiao Yue; Feng Xu 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

A Deep Learning Solution for Height Estimation on a Forested Area Based on Pol-TomoSAR Data. - Wenyu Yang; Sergio Vitale; Hossein Aghababaei; Giampaolo Ferraioli; Vito Pascazio; Gilda Schirinzi (IEEE Trans. Geosci. Remote. Sens., 2023)

A Deep Learning Solution to Phase Calibration of SAR Tomography. - Hossein Aghababaei; Sergio Vitale; Giampaolo Ferraioli (IGARSS, 2024)

PolSAR Classification Assessment for Deep Learning Despeckling Filter. - Xialei Lu; Giampaolo Ferraioli; Vito Pascazio; Sergio Vitale; Wenyu Yang; Hossein Aghababei (IGARSS, 2024)

Coastline Extraction Using SAR Images and Deep Learning. - Gianpaolo Passarello; Sergio Vitale; Giampaolo Ferraioli; Gilda Schirinzi; Vito Pascazio (IGARSS, 2024)

Different Training Solution for Amplitude SAR Despeckling. - Sergio Vitale; Giampaolo Ferraioli; Vito Pascazio (IGARSS, 2024)

Attributed Scattering Center Characteristic Extraction with Deep Learning. - Yiyuan Xie; Giampaolo Ferraioli; Vito Pascazio; Gilda Schirinzi; Sergio Vitale; Mengdao Xing; Hanwen Yu (IGARSS, 2024)

Classical and AI Based SAR Tomography: A Comparison in Urban Application. - Wenyu Yang; Alessandra Budillon; Giampaolo Ferraioli; Gilda Schirinzi; Vito Pascazio; Sergio Vitale (IGARSS, 2024)

Analysis of A Deep Learning Solution for Tomosar Forest Reconstruction. - Wenyu Yang; Giampaolo Ferraioli; Xialei Lu; Vito Pascazio; Gilda Schirinzi; Sergio Vitale; Hossein Aghababaei (IGARSS, 2024)

Polsar Image Classification with Transformer. - Yunpeng Zhang; Giampaolo Ferraioli; Vito Pascazio; Gilda Schirinzi; Sergio Vitale; Mengdao Xing; Hanwen Yu (IGARSS, 2024)

CATSNet: a context-aware network for Height Estimation in a Forested Area based on Pol-TomoSAR data. - Wenyu Yang; Sergio Vitale; Hossein Aghababaei; Giampaolo Ferraioli; Vito Pascazio; Gilda Schirinzi (CoRR, 2024)

Assessment of Spectral based Solutions for the Detection of Floating Marine Debris. - Muhammad Ali; Francesca Razzano; Sergio Vitale; Giampaolo Ferraioli; Vito Pascazio; Gilda Schirinzi; Silvia Liberata Ullo (CoRR, 2024)

Training Supervised Neural Networks for PolSAR Despeckling With an Hybrid Approach. - Xialei Lu; Sergio Vitale; Hossein Aghababaei; Giampaolo Ferraioli; Vito Pascazio (IEEE Geosci. Remote. Sens. Lett., 2024)

A Deep Learning Solution for Phase Screen Estimation in SAR Tomography. - Hossein Aghababaei; Giampaolo Ferraioli; Sergio Vitale; Alfred Stein (IEEE Geosci. Remote. Sens. Lett., 2025)

Erratum to "A Deep Learning Solution for Phase Screen Estimation in SAR Tomography". - Hossein Aghababaei; Giampaolo Ferraioli; Sergio Vitale; Alfred Stein (IEEE Geosci. Remote. Sens. Lett., 2025)

Enhanced Deep Learning SAR Despeckling Networks Based on SAR Assessing Metrics. - Sergio Vitale; Giampaolo Ferraioli; Vito Pascazio; Luís Gómez Déniz (IEEE Geosci. Remote. Sens. Lett., 2025)

An Efficient Machine Learning Framework for Forest Height Estimation from Multi-Polarimetric Multi-Baseline SAR data. - Francesca Razzano; Wenyu Yang; Sergio Vitale; Giampaolo Ferraioli; Silvia Liberata Ullo; Gilda Schirinzi (CoRR, 2025)