Matteo Ciotola

Orcid: 0000-0001-6577-6879

According to our database1, Matteo Ciotola authored at least 16 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
An Unsupervised CNN-Based Pansharpening Framework with Spectral-Spatial Fidelity Balance.
Remote. Sens., August, 2024

Band-Wise Hyperspectral Image Pansharpening Using CNN Model Propagation.
IEEE Trans. Geosci. Remote. Sens., 2024

Hyperspectral Pansharpening: Critical Review, Tools and Future Perspectives.
CoRR, 2024

Hybrid GSA-CNN Method for Hyperspectral Pansharpening.
Proceedings of the IGARSS 2024, 2024

Hyperspectral Pansharpening: Review and Future Perspectives.
Proceedings of the IGARSS 2024, 2024

Balancing Spectral and Spatial Quality in CNN-Based Unsupervised Pansharpening.
Proceedings of the IGARSS 2024, 2024

2023
Fast Full-Resolution Target-Adaptive CNN-Based Pansharpening Framework.
Remote. Sens., January, 2023

Unsupervised Deep Learning-Based Pansharpening With Jointly Enhanced Spectral and Spatial Fidelity.
IEEE Trans. Geosci. Remote. Sens., 2023

PCA-CNN Hybrid Approach for Hyperspectral Pansharpening.
IEEE Geosci. Remote. Sens. Lett., 2023

Synergic Use of SAR and Optical Data for Feature Extraction.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

An Unsupervised CNN-Based Hyperspectral Pansharpening Method.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Pansharpening by Efficient and Fast Unsupervised Target-Adaptive CNN.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Pansharpening by Convolutional Neural Networks in the Full Resolution Framework.
IEEE Trans. Geosci. Remote. Sens., 2022

Full-Resolution Quality Assessment for Pansharpening.
Remote. Sens., 2022

An Adversarial Training Framework for Sentinel-2 Image Super-Resolution.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
A Full-Resolution Training Framework for Sentinel-2 Image Fusion.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021


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