Andrea Marinoni
Luke Cullen,
Andrea Marinoni,
Jonathan Cullen
:
Machine learning for gap-filling in greenhouse gas emissions databases
Eduard Khachatrian,
Wolfgang Fritz Otto Dierking,
Saloua Chlaily,
Torbjørn Eltoft,
Frode Dinessen,
Nick Hughes
m.fl.:
SAR and Passive Microwave Fusion Scheme: A Test Case on Sentinel-1/AMSR-2 for Sea Ice Classification
Saloua Chlaily,
Debanshu Ratha,
Pigi Lozou,
Andrea Marinoni
:
On Measures of Uncertainty in Classification
Mengxi Liu,
Qian Shi,
Andrea Marinoni,
Da He,
Xiaoping Liu,
Liangpei Zhang
:
Super-Resolution-Based Change Detection Network with Stacked Attention Module for Images with Different Resolutions
IEEE Transactions on Geoscience and Remote Sensing 2022 DOI
Debanshu Ratha,
Andrea Marinoni,
Torbjørn Eltoft
:
A Generalized Geodesic Distance-Based Approach for Analysis of SAR Observations Across Polarimetric Modes
IEEE Transactions on Geoscience and Remote Sensing 2022 DOI
Catherine Cecilia A Taelman,
Saloua Chlaily,
Eduard Khachatrian,
Fons Van Der Sommen,
Andrea Marinoni
:
On the Exploitation of Heterophily in Graph-Based Multimodal Remote Sensing Data Analysis
Debanshu Ratha,
Malin Johansson,
Andrea Marinoni,
Torbjørn Eltoft
:
Performance Analysis of Roll-Invariant PolSAR Parameters from C-band images with Regard to Sea Ice Type Separation
Electronic proceedings (EUSAR) 2022 ARKIV
Salman Khaleghian,
Habib Ullah,
Einar Broch Johnsen,
Anders Andersen,
Andrea Marinoni
:
AFSD: Adaptive Feature Space Distillation for Distributed Deep Learning
Salman Khaleghian,
Habib Ullah,
Thomas Kræmer,
Nick Hughes,
Torbjørn Eltoft,
Andrea Marinoni
:
Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks
Eduard Khachatrian,
Saloua Chlaily,
Torbjørn Eltoft,
Wolfgang Fritz Otto Dierking,
Frode Dinessen,
Andrea Marinoni
:
Automatic Selection of Relevant Attributes for Multi-Sensor Remote Sensing Analysis: A Case Study on Sea Ice Classification
Saloua Chlaily,
Thomas Kræmer,
Torbjørn Eltoft,
Andrea Marinoni
:
A wavelet-based thermal noise removal approach for Sentinel-1 records on polar areas
Electronic proceedings (EUSAR) 2021 FULLTEKST
Saloua Chlaily,
Dino Ienco,
Christian Jutten,
Andrea Marinoni
:
On Enhanced Ensemble Learning for Multimodal Remote Sensing Data Analysis by Capacity Optimization
IEEE Statistical Signal Processing Workshop (SSP) 2021 DOI
Eduard Khachatrian,
Saloua Chlaily,
Torbjørn Eltoft,
Andrea Marinoni
:
A Multimodal Feature Selection Method for Remote Sensing Data Analysis Based on Double Graph Laplacian Diagonalization
Salman Khaleghian,
Habib Ullah,
Thomas Kræmer,
Torbjørn Eltoft,
Andrea Marinoni
:
Deep Semisupervised Teacher–Student Model Based on Label Propagation for Sea Ice Classification
Haonan Guo,
Qian Shi,
Andrea Marinoni,
Bo Du,
Liangpei Zhang
:
Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images
Remote Sensing of Environment 2021 DOI
Eduard Khachatrian,
Saloua Chlaily,
Torbjørn Eltoft,
Paolo Gamba,
Andrea Marinoni
:
Unsupervised Band Selection for Hyperspectral Datasets by Double Graph Laplacian Diagonalization
Eduard Khachatrian,
Saloua Chlaily,
Torbjørn Eltoft,
Andrea Marinoni
:
Selecting principal attributes in multimodal remote sensing for sea ice characterization
VDE Verlag GmbH 2021 ARKIV
Desta Haileselassie Hagos,
Theofilos Kakantousis,
Vladimir Vlassov,
Sina Sheikholeslami,
Tianze Wang,
Jim Dowling
m.fl.:
ExtremeEarth meets satellite data from space
Yao Liu,
Lianru Gao,
Chenchao Xiao,
Ying Qu,
Ke Zheng,
Andrea Marinoni
:
Hyperspectral image classification based on a shuffled group convolutional neural network with transfer learning
Zhicheng Wang,
Lina Zhuang,
Lianru Gao,
Andrea Marinoni,
Bing Zhang,
Michael K. Ng
:
Hyperspectral Nonlinear Unmixing by Using Plug-and-Play Prior for Abundance Maps
Sivasakthy Selvakumaran,
Cristian Rossi,
Andrea Marinoni,
Graham Webb,
John Bennetts,
Elena Barton
m.fl.:
Combined InSAR and Terrestrial Structural Monitoring of Bridges
IEEE Transactions on Geoscience and Remote Sensing 2020 DOI
Fábio M. Bayer,
Débora M. Bayer,
Andrea Marinoni,
Paolo Gamba
:
A Novel Rayleigh Dynamical Model for Remote Sensing Data Interpretation
Saloua Chlaily,
Mauro Della Mura,
Jocelyn Chanussot,
Christian Jutten,
Paolo Gamba,
Andrea Marinoni
:
Capacity and Limits of Multimodal Remote Sensing: Theoretical Aspects and Automatic Information Theory-Based Image Selection
Ines Meraoumia,
Debanshu Ratha,
Emanuele Dalsasso,
Loic Denis,
Florence Tupin,
Andrea Marinoni
:
DESPECKLING OF DUAL-POL GRD SENTINEL-1 IMAGES IN EXTRA-WIDE MODE BY DEEP LEARNING
2023
Debanshu Ratha,
Anthony Paul Doulgeris,
Andrea Marinoni,
Torbjørn Eltoft
:
On Importance of Off-Diagonal Elements in the Polarimetric Covariance Matrix: A Sea Ice Application Perspective
2023 ARKIV
Andrea Marinoni
:
Multimodal data analysis for climate transformation
2023
Luke Cullen,
Andrea Marinoni,
Jonathan Cullen
:
Machine learning for gap-filling in greenhouse gas emissions databases
2023
Iain Rolland,
Sivasakthy Selvakumaran,
Andrea Marinoni
:
Remote Sensing Image Completion Using a Diffusion-Based Propagation Algorithm
2023
Andrea Marinoni
:
Satellite imaging can provide more climate-friendly actions
2023 FULLTEKST
Andrea Marinoni,
Quitterie Chambon,
Antonio Plaza,
Stanley Rottman,
Michal Shimoni,
Richard Hall
:
On the robustness and reliability of target detection in remote sensing
2023
Andrea Marinoni
:
An Expedition to the Arctic in Preparation for Climate Change
14. april 2023 FULLTEKST
Andrea Marinoni
:
Super-spectral-spatial-temporal resolution of environmental data with AI
2023
Andrea Marinoni
:
Multimodal data analysis with sparse and missing data: from fluid graph to soft manifolds
2023
Andrea Marinoni
:
Multimodal data analysis for climate transformation
2023
Andrea Marinoni
:
Satellittfoto kan bidra til meir klimavennlege løysingar
2023 FULLTEKST
Andrea Marinoni
:
Multimodal remote sensing data analysis: challenges and opportunities
2023
Andrea Marinoni
:
AI for climate transformation
2023
Andrea Marinoni
:
Multimodal data analysis for climate transformation
2023
Andrea Marinoni,
Marine Nelly Louise Mercier,
Qian Shi,
Sivasakthy Selvakumaran,
Mark Andrew Girolami
:
Incorporating reliability in graph information propagation by fluid dynamics diffusion: a case of multimodal semisupervised deep learning
2023
Catherine Cecilia A Taelman,
Johannes Lohse,
Eduard Khachatrian,
Sam Cremers,
Andrea Marinoni
:
Semi-automated classification of sea ice types using C- and L-band SAR data
2022
Debanshu Ratha,
Malin Johansson,
Andrea Marinoni,
Torbjørn Eltoft
:
GD-derived Polarimetric Parameters for identifying Sea Ice in C-band SAR Images
2022
Andrea Marinoni
:
Multimodal AI for climate change adaptation and mitigation
2022
Andrea Marinoni
:
How Satellites Can Help Local Communities Fight Climate Change
2022 FULLTEKST
Salman Khaleghian,
Thomas Kræmer,
Alistair Everett,
Åshild Kiærbech,
Nick Hughes,
Torbjørn Eltoft
m.fl.:
Synthetic aperture radar data analysis by deep learning for automatic sea ice classification
2021
Debanshu Ratha,
Torbjørn Eltoft,
Andrea Marinoni
:
Discrimination of Ice and Water using PolSAR Parameter-based Clustering
2021
Salman Khaleghian,
Habib Ullah,
Thomas Kræmer,
Torbjørn Eltoft,
Andrea Marinoni
:
A deep semi-supervised learning method based on transductive label propagation for sea/ice classification
2021
Catherine Cecilia A Taelman,
Saloua Chlaily,
Eduard Khachatrian,
Andrea Marinoni
:
Graph-based label propagation for multimodal remote sensing data
2021
Catherine Cecilia A Taelman,
Saloua Chlaily,
Eduard Khachatrian,
Andrea Marinoni
:
On the exploitation of heterophily in graph-based multimodal remote sensing data analysis
2021
Catherine Cecilia A Taelman,
Saloua Chlaily,
Eduard Khachatrian,
Andrea Marinoni
:
On the exploitation of heterophily in graph-based multimodal remote sensing data analysis
2021
Salman Khaleghian,
Thomas Kræmer,
Alistair Everett,
Åshild Kiærbech,
Nick Hughes,
Torbjørn Eltoft
m.fl.:
Deep learning for enhanced sea ice understanding
2020
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