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Department of Physics and Technology andrea.marinoni@uit.no +4777645178 Tromsø FPARK E 327

Marinoni, Andrea

Associate Professor / Earth Observation

  • 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
  • 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
  • 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
    CEUR Workshop Proceedings 2022
  • Salman Khaleghian, Habib Ullah, Einar Broch Johnsen, Anders Andersen, Andrea Marinoni :
    AFSD: Adaptive Feature Space Distillation for Distributed Deep Learning
    IEEE Access 2022 ARKIV / 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 23. December 2022 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
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021 ARKIV / DOI
  • 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
    Remote Sensing 2021 ARKIV / DOI
  • 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
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021 ARKIV / DOI
  • Salman Khaleghian, Habib Ullah, Thomas Kræmer, Torbjørn Eltoft, Andrea Marinoni :
    Deep Semisupervised Teacher–Student Model Based on Label Propagation for Sea Ice Classification
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021 ARKIV / FULLTEKST / DOI
  • 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 et al.:
    ExtremeEarth meets satellite data from space
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021 ARKIV / 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
  • 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
    IEEE Transactions on Geoscience and Remote Sensing 2020 ARKIV / DOI
  • Fábio M. Bayer, Débora M. Bayer, Andrea Marinoni, Paolo Gamba :
    A Novel Rayleigh Dynamical Model for Remote Sensing Data Interpretation
    IEEE Transactions on Geoscience and Remote Sensing 2020 ARKIV / DOI
  • 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
    Remote Sensing 2020 ARKIV / DOI
  • 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
    Remote Sensing 2020 ARKIV / DOI
  • Sivasakthy Selvakumaran, Cristian Rossi, Andrea Marinoni, Graham Webb, John Bennetts, Elena Barton et al.:
    Combined InSAR and Terrestrial Structural Monitoring of Bridges
    IEEE Transactions on Geoscience and Remote Sensing 2020 DOI
  • 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
  • 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
  • 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
    IEEE International Geoscience and Remote Sensing Symposium proceedings 2019 ARKIV / 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
    Remote Sensing 2018 ARKIV / DOI
  • Catherine Cecilia A Taelman, Johannes Philipp 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
  • Salman Khaleghian, Thomas Kræmer, Alistair Everett, Åshild Kiærbech, Nick Hughes, Torbjørn Eltoft et al.:
    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
  • 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
  • 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 et al.:
    Deep learning for enhanced sea ice understanding
    2020
  • Salman Khaleghian, Habib Ullah, Thomas Kræmer, Alistair Everett, Åshild Kiærbech, Joakim Pedersen et al.:
    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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    FPARK E 327