
Marinoni, Andrea
Førsteamanuensis / Jordobservasjon
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,
Andrea Marinoni
:
Selecting principal attributes in multimodal remote sensing for sea ice characterization
VDE Verlag GmbH 2021
Eduard Khachatrian,
Saloua Chlaily,
Torbjørn Eltoft,
Paolo Gamba,
Andrea Marinoni
:
Unsupervised Band Selection for Hyperspectral Datasets by Double Graph Laplacian Diagonalization
IEEE International Geoscience and Remote Sensing Symposium proceedings 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
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
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
Andrea Marinoni,
Martine Espeseth,
Paolo Gamba,
Camilla Brekke,
Torbjørn Eltoft
:
Assessment of Polarimetric Variability by Distance Geometry for Enhanced Classification of Oil Slicks Using SAR
Shuyuan Xu,
Jun Li,
Mahdi Khodadadzadeh,
Andrea Marinoni,
Paolo Gamba,
Bo Li
:
Abundance-Indicated Subspace for Hyperspectral Classification with Limited Training Samples
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2019 DOI
Yuanchao Su,
Jun Li,
Antonio Plaza,
Andrea Marinoni,
Paolo Gamba,
Somdatta Chakravortty
:
DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing
IEEE Transactions on Geoscience and Remote Sensing 2019 DOI
Jianhang Ma,
Wenjuan Zhang,
Andrea Marinoni,
Lianru Gao,
Bing Zhang
:
An improved spatial and temporal reflectance unmixing model to synthesize time series of landsat-like images
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
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
Andrea Marinoni,
Malin Johansson,
Martine Espeseth,
Camilla Brekke
:
Multidimensional distance geometry analysis for classification of PolSAR images in Arctic scenarios
2019
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