VITALE, SERGIO

VITALE, SERGIO  

Dipartimento di Ingegneria  

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Risultati 1 - 20 di 50 (tempo di esecuzione: 0.041 secondi).
Titolo Data di pubblicazione Autore(i) File
A CNN Based Solution for InSAR Phase Denoising 1-gen-2022 Vitale, Sergio; Ferraioli, Giampaolo; Pascazio, Vito
A CNN-based model for pansharpening of worldview-3 images 1-gen-2018 Vitale, S.; Ferraioli, G.; Scarpa, G.
A CNN-based pansharpening method with perceptual loss 1-gen-2019 Vitale, S.
A Cross-Scale Loss for CNN-Based Pansharpening 1-gen-2020 Vitale, S.; Scarpa, G.
A Deep Learning Based Solution for Persistent Scatterers Detection 1-gen-2025 Tang, Weili; Verde, Simona; Vitale, Sergio; Pascazio, Vito; Fornaro, Gianfranco
A Deep Learning Solution for Height Estimation on a Forested Area Based on Pol-TomoSAR Data 1-gen-2023 Yang, Wenyu; Vitale, Sergio; Aghababaei, Hossein; Ferraioli, Giampaolo; Pascazio, Vito; Schirinzi, Gilda
A Deep Learning Solution for Height Inversion on Forested Areas Using Single and Dual Polarimetric TomoSAR 1-gen-2023 Yang, Wenyu; Vitale, Sergio; Aghababaei, Hossein; Ferraioli, Giampaolo; Pascazio, Vito; Schirinzi, Gilda
A Deep Learning Solution for Height Reconstruction in SAR Tomography 1-gen-2022 Yang, Wenyu; Budillon, Alessandra; Ferraioli, Giampaolo; Pascazio, Vito; Schirinzi, Gilda; Vitale, Sergio
A detail-preserving cross-scale learning strategy for CNN-based pansharpening 1-gen-2020 Vitale, S.; Scarpa, G.
A multi-objective deep learning based approach for SAR image reconstruction in urban environment 1-gen-2023 Vitale, Sergio; Ferraioli, Giampaolo; Yang, Wenyu; Schirinzi, Gilda; Pascazio, Vito
A NEW RATIO IMAGE BASED CNN ALGORITHM FOR SAR DESPECKLING 1-gen-2019 Vitale, S; Ferraioli, G; Pascazio, V
A novel cost function for despeckling using convolutional neural networks 1-gen-2019 Ferraioli, G.; Pascazio, V.; Vitale, Sergio
A Split Pulse Fusion Method for Radar Reconnaissance 1-gen-2025 Guo, Ronghua; Dong, Yang-yang; Bao, Dan; Dong, Chunxi; Vitale, Sergio; Ferraioli, Giampaolo; Pascazio, Vito; Li, Wenbo; Li, Zhiyuan
Analysis of A Deep Learning Solution for Tomosar Forest Reconstruction 1-gen-2024 Yang, W.; Ferraioli, G.; Lu, X.; Pascazio, V.; Schirinzi, G.; Vitale, S.; Aghababei, H.
Analysis on the Building of Training Dataset for Deep Learning SAR Despeckling 1-gen-2022 Vitale, S.; Ferraioli, G.; Pascazio, V.
Assessing the Two-Layer Forest Scattering Model Using Sentinel-1 Dual-Polarimetric InSAR Observations 1-gen-2026 Aghababaei, Hossein; Tomppo, Erkki; Ma, Yaobin; Yang, Wenyu; Vitale, Sergio; Ferraioli, Giampaolo; Schirinzi, Gilda; Praks, Jaan; Taillade, Thibault
Assessment of Spectral-based Solutions for the Detection of Floating Marine Debris 1-gen-2024 Ali, Muhammad; Razzano, Francesca; Vitale, Sergio; Ferraioli, Giampaolo; Pascazio, Vito; Schirinzi, Gilda; Ullo, Silvia
Classical and AI Based SAR Tomography: A Comparison in Urban Application 1-gen-2024 Yang, Wenyu; Budillon, Alessandra; Ferraioli, Giampaolo; Schirinzi, Gilda; Pascazio, Vito; Vitale, Sergio
Coastline Extraction Using SAR Images and Deep Learning 1-gen-2024 Passarello, Gianpaolo; Vitale, Sergio; Ferraioli, Giampaolo; Schirinzi, Gilda; Pascazio, Vito
Comparison of ML and DL Based Methods for Forest Height Estimation Through Multi-Channel SAR Data 1-gen-2025 Razzano, Francesca; Yang, Wenyu; Vitale, Sergio; Ferraioli, Giampaolo; Pascazio, Vito; Ullo, Silvia Liberata; Schirinzi, Gilda