Alessandro Sebastianelli

Orcid: 0000-0002-9252-907X

According to our database1, Alessandro Sebastianelli authored at least 25 papers between 2019 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Using Multi-Temporal Sentinel-1 and Sentinel-2 data for water bodies mapping.
CoRR, 2024

2023
On Quantum Hyperparameters Selection in Hybrid Classifiers for Earth Observation Data.
IEEE Geosci. Remote. Sens. Lett., 2023

Estimation of Ground NO2 Measurements from Sentinel-5P Tropospheric Data through Categorical Boosting.
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.
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.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Deep unfolding for hyper sharpening using a high-frequency injection module.
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.
IEEE Trans. Geosci. Remote. Sens., 2022

On Circuit-Based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification.
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.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Early Detection of Volcanic Eruption through Artificial Intelligence on board.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

A demo setup testing onboard CNNs for Volcanic Eruption Detection.
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.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
A New Mask R-CNN-Based Method for Improved Landslide Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Automatic dataset builder for Machine Learning applications to satellite imagery.
SoftwareX, 2021

On-Board Volcanic Eruption Detection through CNNs and Satellite Multispectral Imagery.
Remote. Sens., 2021

AIRSENSE-TO-ACT: A Concept Paper for COVID-19 Countermeasures Based on Artificial Intelligence Algorithms and Multi-Source Data Processing.
ISPRS Int. J. Geo Inf., 2021

Sentinel-1 and Sentinel-2 Spatio-Temporal Data Fusion for Clouds Removal.
CoRR, 2021

Paradigm selection for Data Fusion of SAR and Multispectral Sentinel data applied to Land-Cover Classification.
CoRR, 2021

A SAR speckle filter based on Residual Convolutional Neural Networks.
CoRR, 2021

Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing.
CoRR, 2021

A Deep Q-Learning based approach applied to the Snake game.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing.
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.
CoRR, 2020

Application of Dinsar Technique to High Coherence Satellite Images for Strategic Infrastructure Monitoring.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Landslide Geohazard Assessment with Convolutional Neural Networks Using Sentinel-2 Imagery Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019


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