15 citations · 43 across the 22 of their papers we have counts for
6 papers · 1 filter
On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification
Alessandro Sebastianelli, Daniela A. Zaidenberg, Dario Spiller +2
This article aims to investigate how circuit-based hybrid Quantum Convolutional Neural Networks (QCNNs) can be successfully employed as image classifiers in the context of remote s…
On Board Volcanic Eruption Detection through CNNs and Satellite Multispectral Imagery
Maria Pia Del Rosso, Alessandro Sebastianelli, Dario Spiller +2
In recent years, the growth of Machine Learning (ML) algorithms has raised the number of studies including their applicability in a variety of different scenarios. Among all, one o…
Paradigm selection for Data Fusion of SAR and Multispectral Sentinel data applied to Land-Cover Classification
Alessandro Sebastianelli, Maria Pia Del Rosso, Pierre Philippe Mathieu +1
Data fusion is a well-known technique, becoming more and more popular in the Artificial Intelligence for Earth Observation (AI4EO) domain mainly due to its ability of reinforcing A…
Spatio-Temporal SAR-Optical Data Fusion for Cloud Removal via a Deep Hierarchical Model
Alessandro Sebastianelli, Artur Nowakowski, Erika Puglisi +5
Cloud removal is a relevant topic in Remote Sensing as it fosters the usability of high-resolution optical images for Earth monitoring and study. Related techniques have been analy…
A speckle filter for Sentinel-1 SAR Ground Range Detected data based on Residual Convolutional Neural Networks
Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo +1
In recent years, machine learning (ML) algorithms have become widespread in all the fields of remote sensing (RS) and earth observation (EO). This has allowed the rapid development…
Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing
Daniela A. Zaidenberg, Alessandro Sebastianelli, Dario Spiller +2
This concept paper aims to provide a brief outline of quantum computers, explore existing methods of quantum image classification techniques, so focusing on remote sensing applicat…