Matteo Ciotola | University Federico II

About Me

I received the B.Sc., M.Sc. (cum laude) degrees in Automation Engineering and PhD degree in Telecommunications Engineering from the University of Naples Federico II, Naples, Italy, in 2018, 2020, and 2024 respectively. I am currently a Postdoctoral Research Fellow at the University of Naples Federico II. In 2020, I held a traineeship with the Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Montpellier, France, where I conducted my research at the Maison de la Télédétection. From 2022 to 2023, I was a Visiting Scholar with the Université Bretagne Sud, Vannes, France, where I fulfilled my research with the Environment Observation With Complex Imagery (OBELIX) Research Team. I am a member of the GRIP Research Team. My main research interests focus on data fusion of remotely sensed images, particularly super-resolution and pansharpening, through deep learning algorithms.

Research Interests

Remote Sensing: multispectral pansharpening, hyperspectral pansharpening, super-resolution, feature extraction, image reconstruction
Machine Learning: deep learning, convolutional neural networks, attention mechanism
Computer Vision: super-resolution, image enhancement, image reconstruction, image generation

News

[Feb. 2024] I’ve officially earned my PhD in Telecommunications Engineering with the thesis titled “Deep Learning-based Pansharpening and Super-Resolution of Remote Sensing Images”.
[Dec. 2023] Our new article titled “Band-wise Hyperspectral Image Pansharpening using CNN Model Propagation” has been published on IEEE TGRS.
[Nov. 2023] The CCS proposal titled “CCS.109: Super-resolution and pansharpening” has been accepted. I am thrilled to see you at IGARSS 2024.
[Oct. 2023] Our paper “PCA-CNN Hybrid Approach for Hyperspectral Pansharpening” is accepted to GRSL.
[Aug. 2023] Our paper “Unsupervised Deep Learning-Based Pansharpening With Jointly Enhanced Spectral and Spatial Fidelity” is accepted to TGRS.

Publications

IEEE TGRS

Band-wise Hyperspectral Image Pansharpening using CNN Model Propagation

Giuseppe Guarino, Matteo Ciotola, Gemine Vivone, Giuseppe Scarpa

Transactions on Geoscience and Remote Sensing, 2023.

PDF Code Link to Journal Art. Page BibTex

IEEE GRSL

PCA-CNN Hybrid Approach for Hyperspectral Pansharpening

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

IEEE Geoscience and Remote Sensing Letters, 2023.

PDF Code Link to Journal Art. Page BibTex

IEEE TGRS

Unsupervised Deep Learning-based Pansharpening with Jointly-Enhanced Spectral and Spatial Fidelity

Matteo Ciotola, Giovanni Poggi, Giuseppe Scarpa

IEEE Transactions on Geoscience and Remote Sensing, 2023.

PDF Code Link to Journal Art. Page BibTex

MDPI RS

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

Matteo Ciotola, Giuseppe Scarpa

MDPI Remote Sensing, 2023.

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IEEE TGRS

Pansharpening by convolutional neural networks in the full resolution framework

Matteo Ciotola, Sergio Vitale, Antonio Mazza, Giovanni Poggi, Giuseppe Scarpa

IEEE Transactions on Geoscience and Remote Sensing, 2022.

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MDPI RS

Full-Resolution Quality Assessment for Pansharpening

Giuseppe Scarpa, Matteo Ciotola

MDPI Remote Sensing, 2022.

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Proceedings

IGARSS 2023

Pansharpening by Efficient and Fast Unsupervised Target-Adaptive CNN

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

IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023.

PDF Link to Conf. Art. BibTex

IGARSS 2023

Synergic Use of SAR and Optical Data for Feature Extraction

Antonio Mazza, Matteo Ciotola, Giovanni Poggi, Giuseppe Scarpa

IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023.

PDF Link to Conf. Art. BibTex

IGARSS 2023

An Unsupervised CNN-Based Hyperspectral Pansharpening Method

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

IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023.

PDF Link to Conf. Art. BibTex

IGARSS 2022

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

Matteo Ciotola, Antonio Martinelli, Antonio Mazza, Giuseppe Scarpa

IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022.

PDF Link to Conf. Art. BibTex

IGARSS 2021

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

Matteo Ciotola, Mario Ragosta, Giovanni Poggi, Giuseppe Scarpa

IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021.

PDF Code Link to Conf. Art. BibTex

Professional Experience

Journal Reviewer

Conference Reviewer

IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2021-2023

Session Chair

IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2023 - THP.P13: Different Approaches with SAR, Multispectral Hyperspectral Data
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2022 - TH6.V11 - Super-Resolution