Andrea Marinoni
Førsteamanuensis / Jordobservasjon
Saloua Chlaily,
Debanshu Ratha,
Pigi Lozou,
Andrea Marinoni
:
On Measures of Uncertainty in Classification
IEEE Transactions on Signal Processing 2023 DOI
Eduard Khachatrian,
Wolfgang 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
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
Salman Khaleghian,
Habib Ullah,
Einar Broch Johnsen,
Anders Andersen,
Andrea Marinoni
:
AFSD: Adaptive Feature Space Distillation for Distributed Deep Learning
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
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,
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
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
Eduard Khachatrian,
Saloua Chlaily,
Torbjørn Eltoft,
Andrea Marinoni
:
A Multimodal Feature Selection Method for Remote Sensing Data Analysis Based on Double Graph Laplacian Diagonalization
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
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
Salman Khaleghian,
Habib Ullah,
Thomas Kræmer,
Torbjørn Eltoft,
Andrea Marinoni
:
Deep Semisupervised Teacher–Student Model Based on Label Propagation for 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
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
Desta Haileselassie Hagos,
Theofilos Kakantousis,
Vladimir Vlassov,
Sina Sheikholeslami,
Tianze Wang,
Jim Dowling
m.fl.:
ExtremeEarth meets satellite data from space
Eduard Khachatrian,
Saloua Chlaily,
Torbjørn Eltoft,
Andrea Marinoni
:
Unsupervised Information Selection In Multimodal Sea Ice Remote Sensing
The International Association for Hydro-Environment Engineering and Research (IAHR) 2020 FULLTEKST
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
Fábio M. Bayer,
Débora M. Bayer,
Andrea Marinoni,
Paolo Gamba
:
A Novel Rayleigh Dynamical Model for Remote Sensing Data Interpretation
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
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
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
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
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,
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
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
:
Satellite imaging can provide more climate-friendly actions
2023 FULLTEKST
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
:
Multimodal data analysis for climate transformation
2023
Andrea Marinoni
:
An Expedition to the Arctic in Preparation for Climate Change
14. april 2023 FULLTEKST
Debanshu Ratha,
Malin Johansson,
Andrea Marinoni,
Torbjørn Eltoft
:
GD-derived Polarimetric Parameters for identifying Sea Ice in C-band SAR Images
2022
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
Andrea Marinoni
:
Multimodal AI for climate change adaptation and mitigation
2022
Andrea Marinoni
:
How Satellites Can Help Local Communities Fight Climate Change
2022 FULLTEKST
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
Debanshu Ratha,
Torbjørn Eltoft,
Andrea Marinoni
:
Discrimination of Ice and Water using PolSAR Parameter-based Clustering
2021
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
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
Andrea Marinoni,
Saloua Chlaily,
Christian Jutten
:
Addressing Reliability Of Multimodal Remote Sensing To Enhance Multisensor Data Fusion And Transfer Learning
2020
Salman Khaleghian,
Thomas Kræmer,
Alistair Everett,
Åshild Kiærbech,
Nick Hughes,
Torbjørn Eltoft
m.fl.:
Deep learning for enhanced sea ice understanding
2020
Salman Khaleghian,
Habib Ullah,
Thomas Kræmer,
Alistair Everett,
Åshild Kiærbech,
Joakim Pedersen
m.fl.:
Automatic sea ice classification using Synthetic aperture radar data analysis by deep learning
2020
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