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20192026
most citedDiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification

24 citations · 90 across the 43 of their papers we have counts for

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Showing eess.SPShow all

7 papers · 1 filter

eess.SP2024★ 1 cited

QSpeckleFilter: a Quantum Machine Learning approach for SAR speckle filtering

Francesco Mauro, Alessandro Sebastianelli, Maria Pia Del Rosso +2

The use of Synthetic Aperture Radar (SAR) has greatly advanced our capacity for comprehensive Earth monitoring, providing detailed insights into terrestrial surface use and cover r…

eess.SP2024★ 1 cited

A Hybrid MLP-Quantum approach in Graph Convolutional Neural Networks for Oceanic Nino Index (ONI) prediction

Francesco Mauro, Alessandro Sebastianelli, Bertrand Le Saux +2

This paper explores an innovative fusion of Quantum Computing (QC) and Artificial Intelligence (AI) through the development of a Hybrid Quantum Graph Convolutional Neural Network (…

eess.SP2023

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

Francesco Mauro, Luigi Russo, Fjoralba Janku +2

This study aims to analyse the Nitrogen Dioxide (NO2) pollution in the Emilia Romagna Region (Northern Italy) during 2019, with the help of satellite retrievals from the Sentinel-5…

eess.SP2023★ 9 cited

Classification Schemes for the Radar Reference Window: Design and Comparisons

Chaoran Yin, Linjie Yan, Chengpeng Hao +4

In this paper, we address the problem of classifying data within the radar reference window in terms of statistical properties. Specifically, we partition these data into statistic…

eess.SP2023

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

Francesco Mauro, Benjamin Rich, Veronica Wairimu Muriga +2

Climate change has caused disruption in certain weather patterns, leading to extreme weather events like flooding and drought in different parts of the world. In this paper, we pro…

eess.SP2023★ 9 cited

Multiple Sub-Pixel Target Detection for Hyperspectral Imaging Systems

Pia Addabbo, Nicomino Fiscante, Gaetano Giunta +3

Hyperspectral target detection is a task of primary importance in remote sensing since it allows identification, location, and discrimination of target features. To this end, the r…

eess.SP2020

Monitoring of Critical Infrastructures by Micro-Motion Estimation: the Mosul Dam Destabilization

Filippo Biondi, Pia Addabbo, Carmine Clemente +2

In this paper, authors propose a new procedure to provide a tool for monitoring critical infrastructures. Particularly, through the analysis of COSMO-SkyMed satellite data, a detai…