Target-adaptive CNN-based pansharpening G Scarpa, S Vitale, D Cozzolino IEEE Transactions on Geoscience and Remote Sensing 56 (9), 5443-5457, 2018 | 359 | 2018 |
Hand gesture recognition via radar sensors and convolutional neural networks S Franceschini, M Ambrosanio, S Vitale, F Baselice, A Gifuni, G Grassini, ... 2020 IEEE Radar Conference (RadarConf20), 1-5, 2020 | 351 | 2020 |
Multi-objective CNN-based algorithm for SAR despeckling S Vitale, G Ferraioli, V Pascazio IEEE Transactions on Geoscience and Remote Sensing 59 (11), 9336-9349, 2020 | 84 | 2020 |
A detail-preserving cross-scale learning strategy for CNN-based pansharpening S Vitale, G Scarpa Remote Sensing 12 (3), 348, 2020 | 51 | 2020 |
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 | 49 | 2022 |
Guided patchwise nonlocal SAR despeckling S Vitale, D Cozzolino, G Scarpa, L Verdoliva, G Poggi IEEE Transactions on Geoscience and Remote Sensing 57 (9), 6484-6498, 2019 | 43 | 2019 |
Analysis on the building of training dataset for deep learning SAR despeckling S Vitale, G Ferraioli, V Pascazio IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 33 | 2021 |
A cnn-based pansharpening method with perceptual loss S Vitale IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 25 | 2019 |
A new ratio image based CNN algorithm for SAR despeckling S Vitale, G Ferraioli, V Pascazio IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 24 | 2019 |
SAR tomography based on deep learning A Budillon, AC Johnsy, G Schirinzi, S Vitale IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 20 | 2019 |
Nonlocal model-free denoising algorithm for single-and multichannel SAR data H Aghababaei, G Ferraioli, S Vitale, R Zamani, G Schirinzi, V Pascazio IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021 | 14 | 2021 |
A novel cost function for despeckling using convolutional neural networks G Ferraioli, V Pascazio, S Vitale 2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019 | 13 | 2019 |
InSAR-MONet: Interferometric SAR phase denoising using a multiobjective neural network S Vitale, G Ferraioli, V Pascazio, G Schirinzi IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022 | 12 | 2022 |
SAR despeckling using multi-objective neural network trained with generic statistical samples S Vitale, G Ferraioli, AC Frery, V Pascazio, DX Yue, F Xu IEEE Transactions on Geoscience and Remote Sensing, 2023 | 8 | 2023 |
Edge preserving CNN SAR despeckling algorithm S Vitale, G Ferraioli, V Pascazio 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS), 12-15, 2020 | 7 | 2020 |
A CNN-based model for pansharpening of worldview-3 images S Vitale, G Ferraioli, G Scarpa IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 7 | 2018 |
A deep learning solution for height estimation on a forested area based on Pol-TomoSAR data W Yang, S Vitale, H Aghababaei, G Ferraioli, V Pascazio, G Schirinzi IEEE Transactions on Geoscience and Remote Sensing 61, 1-14, 2023 | 5 | 2023 |
A cnn based solution for insar phase denoising S Vitale, G Ferraioli, V Pascazio IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 4 | 2022 |
Joint phase unwrapping and speckle filtering by using convolutional neural networks G Ferraioli, V Pascazio, G Schirinzi, S Vitale, M Xing, H Yu, L Zhou 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 3376 …, 2021 | 4 | 2021 |
A Deep Learning Solution for Height Inversion on Forested Areas Using Single and Dual Polarimetric TomoSAR W Yang, S Vitale, H Aghababaei, G Ferraioli, V Pascazio, G Schirinzi IEEE Geoscience and Remote Sensing Letters, 2023 | 2 | 2023 |