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Matteo Ciotola
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2020 – today
- 2024
- [j7]Matteo Ciotola
, Giuseppe Guarino
An Unsupervised CNN-Based Pansharpening Framework with Spectral-Spatial Fidelity Balance. Remote. Sens. 16(16): 3014 (2024) - [j6]Giuseppe Guarino
Band-Wise Hyperspectral Image Pansharpening Using CNN Model Propagation. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [c8]Giuseppe Guarino, Matteo Ciotola, Giovanni Poggi, Gemine Vivone, Giuseppe Scarpa:
Hybrid GSA-CNN Method for Hyperspectral Pansharpening. IGARSS 2024: 901-904 - [c7]Matteo Ciotola, Giuseppe Guarino, Giovanni Poggi, Giuseppe Scarpa:
Balancing Spectral and Spatial Quality in CNN-Based Unsupervised Pansharpening. IGARSS 2024: 1091-1094 - [c6]Matteo Ciotola, Giuseppe Guarino, Gemine Vivone, Jocelyn Chanussot, Antonio Plaza, Giuseppe Scarpa:
Hyperspectral Pansharpening: Review and Future Perspectives. IGARSS 2024: 1231-1234 - [i6]Matteo Ciotola, Giuseppe Guarino, Gemine Vivone, Giovanni Poggi, Jocelyn Chanussot, Antonio Plaza, Giuseppe Scarpa:
Hyperspectral Pansharpening: Critical Review, Tools and Future Perspectives. CoRR abs/2407.01355 (2024) - 2023
- [j5]Giuseppe Guarino
PCA-CNN Hybrid Approach for Hyperspectral Pansharpening. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j4]Matteo Ciotola
Fast Full-Resolution Target-Adaptive CNN-Based Pansharpening Framework. Remote. Sens. 15(2): 319 (2023) - [j3]Matteo Ciotola
Unsupervised Deep Learning-Based Pansharpening With Jointly Enhanced Spectral and Spatial Fidelity. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [c5]Antonio Mazza, Matteo Ciotola, Giovanni Poggi, Giuseppe Scarpa:
Synergic Use of SAR and Optical Data for Feature Extraction. IGARSS 2023: 2061-2064 - [c4]Matteo Ciotola, Giuseppe Guarino, Antonio Mazza, Giovanni Poggi, Giuseppe Scarpa:
Pansharpening by Efficient and Fast Unsupervised Target-Adaptive CNN. IGARSS 2023: 5579-5582 - [c3]Giuseppe Guarino, Matteo Ciotola, Gemine Vivone, Giovanni Poggi, Giuseppe Scarpa:
An Unsupervised CNN-Based Hyperspectral Pansharpening Method. IGARSS 2023: 5982-5985 - [i5]Matteo Ciotola, Giovanni Poggi, Giuseppe Scarpa:
Unsupervised Deep Learning-based Pansharpening with Jointly-Enhanced Spectral and Spatial Fidelity. CoRR abs/2307.14403 (2023) - [i4]Matteo Ciotola, Mario Ragosta, Giovanni Poggi, Giuseppe Scarpa:
A full-resolution training framework for Sentinel-2 image fusion. CoRR abs/2307.14864 (2023) - [i3]Giuseppe Guarino, Matteo Ciotola, Gemine Vivone, Giuseppe Scarpa:
Band-wise Hyperspectral Image Pansharpening using CNN Model Propagation. CoRR abs/2311.06510 (2023) - 2022
- [j2]Giuseppe Scarpa
Full-Resolution Quality Assessment for Pansharpening. Remote. Sens. 14(8): 1808 (2022) - [j1]Matteo Ciotola
Pansharpening by Convolutional Neural Networks in the Full Resolution Framework. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [c2]Matteo Ciotola, Antonio Martinelli, Antonio Mazza, Giuseppe Scarpa:
An Adversarial Training Framework for Sentinel-2 Image Super-Resolution. IGARSS 2022: 3782-3785 - 2021
- [c1]Matteo Ciotola
A Full-Resolution Training Framework for Sentinel-2 Image Fusion. IGARSS 2021: 1260-1263 - [i2]Giuseppe Scarpa, Matteo Ciotola:
Full-resolution quality assessment for pansharpening. CoRR abs/2108.06144 (2021) - [i1]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)
Coauthor Index
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