Alessandro Sebastianelli

Massimo Panella

Quantum Mach. Intell., December, 2024

On the impact of key design aspects in simulated Hybrid Quantum Neural Networks for Earth Observation.

[BibT_eX]

[DOI]

Lorenzo Papa

Gabriele Meoni

Irene Amerini

CoRR, 2024

Benchmarking of a new data splitting method on volcanic eruption data.

[BibT_eX]

[DOI]

Simona Reale

Pietro Di Stasio

CoRR, 2024

SEN12-WATER: A New Dataset for Hydrological Applications and its Benchmarking.

[BibT_eX]

[DOI]

Luigi Russo

CoRR, 2024

From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks.

[BibT_eX]

[DOI]

Andrea Ceschini

Francesca De Falco

CoRR, 2024

Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Using Multi-Temporal Sentinel-1 and Sentinel-2 Data for Water Bodies Mapping.

[BibT_eX]

[DOI]

Luigi Russo

Babak Memar

Proceedings of the IGARSS 2024, 2024

A Hybrid MLP-Quantum Approach in Graph Convolutional Neural Networks for Oceanic Niño Index (ONI) Prediction.

[BibT_eX]

[DOI]

Proceedings of the IGARSS 2024, 2024

Qspecklefilter: A Quantum Machine Learning Approach for SAR Speckle Filtering.

[BibT_eX]

[DOI]

Proceedings of the IGARSS 2024, 2024

2023

On Quantum Hyperparameters Selection in Hybrid Classifiers for Earth Observation Data.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2023

Estimation of Ground NO2 Measurements from Sentinel-5P Tropospheric Data through Categorical Boosting.

[BibT_eX]

[DOI]

Luigi Russo

Fjoralba Janku

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

A Machine Learning Approach to Long-Term Drought Prediction Using Normalized Difference Indices Computed on a Spatiotemporal Dataset.

[BibT_eX]

[DOI]

Veronica Wairimu Muriga

Benjamin Rich

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

SEN2DWATER: A Novel Multispectral and Multitemporal Dataset and Deep Learning Benchmark for Water Resources Analysis.

[BibT_eX]

[DOI]

Benjamin Rich

Veronica Wairimu Muriga

Fjoralba Janku

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

Deep unfolding for hyper sharpening using a high-frequency injection module.

[BibT_eX]

[DOI]

Jamila Mifdal

Marc Tomás-Cruz

Bartomeu Coll

Joan Duran

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

PLFM: Pixel-Level Merging of Intermediate Feature Maps by Disentangling and Fusing Spatial and Temporal Data for Cloud Removal.

[BibT_eX]

[DOI]

Fiora Pirri

IEEE Trans. Geosci. Remote. Sens., 2022

On Circuit-Based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification.

[BibT_eX]

[DOI]

Daniela Alessandra Zaidenberg

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

A Speckle Filter for Sentinel-1 SAR Ground Range Detected Data Based on Residual Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Early Detection of Volcanic Eruption through Artificial Intelligence on board.

[BibT_eX]

[DOI]

Pietro Di Stasio

Gabriele Meoni

Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

A demo setup testing onboard CNNs for Volcanic Eruption Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

A Decision Support System Based on Machine Learning to Counteract Covid-Like Pandemic Events.

[BibT_eX]

[DOI]

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

2021

A New Mask R-CNN-Based Method for Improved Landslide Detection.

[BibT_eX]

[DOI]

Amrita Mohan

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Automatic dataset builder for Machine Learning applications to satellite imagery.

[BibT_eX]

[DOI]

SoftwareX, 2021

On-Board Volcanic Eruption Detection through CNNs and Satellite Multispectral Imagery.

[BibT_eX]

[DOI]

Remote. Sens., 2021

AIRSENSE-TO-ACT: A Concept Paper for COVID-19 Countermeasures Based on Artificial Intelligence Algorithms and Multi-Source Data Processing.

[BibT_eX]

[DOI]

ISPRS Int. J. Geo Inf., 2021

Sentinel-1 and Sentinel-2 Spatio-Temporal Data Fusion for Clouds Removal.

[BibT_eX]

[DOI]

CoRR, 2021

Paradigm selection for Data Fusion of SAR and Multispectral Sentinel data applied to Land-Cover Classification.

[BibT_eX]

[DOI]

CoRR, 2021

A SAR speckle filter based on Residual Convolutional Neural Networks.

[BibT_eX]

[DOI]

Daniela Alessandra Zaidenberg

CoRR, 2021

Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing.

[BibT_eX]

[DOI]

CoRR, 2021

A Deep Q-Learning based approach applied to the Snake game.

[BibT_eX]

[DOI]

Massimo Tipaldi

Daniela Alessandra Zaidenberg

Luigi Glielmo

Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing.

[BibT_eX]

[DOI]

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

2020

AIRSENSE-TO-ACT: A Concept Paper for COVID-19 Countermeasures based on Artificial Intelligence algorithms and multi-sources Data Processing.

[BibT_eX]

[DOI]

CoRR, 2020

Application of Dinsar Technique to High Coherence Satellite Images for Strategic Infrastructure Monitoring.

[BibT_eX]

[DOI]

T. De Corso

Luca Mignone

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Landslide Geohazard Assessment with Convolutional Neural Networks Using Sentinel-2 Imagery Data.

[BibT_eX]

[DOI]

Maximillian S. Langenkamp

Tuomas P. Oikarinen