Matteo Ciotola

According to our database, Matteo Ciotola authored at least 18 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Zero-Shot Hyperspectral Pansharpening Using Hysteresis-Based Tuning for Spectral Quality Control.

Giuseppe Guarino, Matteo Ciotola, Gemine Vivone, Giovanni Poggi, Giuseppe Scarpa

IEEE Trans. Geosci. Remote. Sens., 2025

A Spectral-Preserving Zero-Shot Technique for Hyperspectral Pansharpening.

Giuseppe Guarino, Matteo Ciotola, Giuseppe Scarpa

Proceedings of the Image Analysis - 23rd Scandinavian Conference, 2025

2024

An Unsupervised CNN-Based Pansharpening Framework with Spectral-Spatial Fidelity Balance.

Matteo Ciotola, Giuseppe Guarino, Giuseppe Scarpa

Remote. Sens., August, 2024

Band-Wise Hyperspectral Image Pansharpening Using CNN Model Propagation.

Giuseppe Guarino, Matteo Ciotola, Gemine Vivone, Giuseppe Scarpa

IEEE Trans. Geosci. Remote. Sens., 2024

Hyperspectral Pansharpening: Critical Review, Tools and Future Perspectives.

Matteo Ciotola, Giuseppe Guarino, Gemine Vivone, Giovanni Poggi, Jocelyn Chanussot, Antonio Plaza, Giuseppe Scarpa

CoRR, 2024

Hybrid GSA-CNN Method for Hyperspectral Pansharpening.

Giuseppe Guarino, Matteo Ciotola, Giovanni Poggi, Gemine Vivone, Giuseppe Scarpa

Proceedings of the IGARSS 2024, 2024

Hyperspectral Pansharpening: Review and Future Perspectives.

Matteo Ciotola, Giuseppe Guarino, Gemine Vivone, Jocelyn Chanussot, Antonio Plaza, Giuseppe Scarpa

Proceedings of the IGARSS 2024, 2024

Balancing Spectral and Spatial Quality in CNN-Based Unsupervised Pansharpening.

Matteo Ciotola, Giuseppe Guarino, Giovanni Poggi, Giuseppe Scarpa

Proceedings of the IGARSS 2024, 2024

2023

Fast Full-Resolution Target-Adaptive CNN-Based Pansharpening Framework.

Matteo Ciotola, Giuseppe Scarpa

Remote. Sens., January, 2023

Unsupervised Deep Learning-Based Pansharpening With Jointly Enhanced Spectral and Spatial Fidelity.

Matteo Ciotola, Giovanni Poggi, Giuseppe Scarpa

IEEE Trans. Geosci. Remote. Sens., 2023

PCA-CNN Hybrid Approach for Hyperspectral Pansharpening.

Giuseppe Guarino, Matteo Ciotola, Gemine Vivone, Giovanni Poggi, Giuseppe Scarpa

IEEE Geosci. Remote. Sens. Lett., 2023

Synergic Use of SAR and Optical Data for Feature Extraction.

Antonio Mazza, Matteo Ciotola, Giovanni Poggi, Giuseppe Scarpa

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

An Unsupervised CNN-Based Hyperspectral Pansharpening Method.

Giuseppe Guarino, Matteo Ciotola, Gemine Vivone, Giovanni Poggi, Giuseppe Scarpa

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Pansharpening by Efficient and Fast Unsupervised Target-Adaptive CNN.

Matteo Ciotola, Giuseppe Guarino, Antonio Mazza, Giovanni Poggi, Giuseppe Scarpa

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

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

Full-Resolution Quality Assessment for Pansharpening.

Giuseppe Scarpa, Matteo Ciotola

Remote. Sens., 2022

An Adversarial Training Framework for Sentinel-2 Image Super-Resolution.

Matteo Ciotola, Antonio Martinelli, Antonio Mazza, Giuseppe Scarpa

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

A Full-Resolution Training Framework for Sentinel-2 Image Fusion.

Matteo Ciotola, Mario Ragosta, Giovanni Poggi, Giuseppe Scarpa

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021