1. Enheten
  2. Ansatte
  3. Torbjørn Eltoft
Bilde av Eltoft, Torbjørn
Foto: Geir Antonsen
Bilde av Eltoft, Torbjørn
Institutt for fysikk og teknologi torbjorn.eltoft@uit.no +4777645184 Her finner du meg

Torbjørn Eltoft

Professor / Jordobservasjon / Senterleder CIRFA

  • 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
    Geophysical Research Letters 2023 ARKIV / DOI
  • Victor Cesar Martins de Aguiar, Johannes Röhrs, Malin Johansson, Torbjørn Eltoft :
    Assessing ocean ensemble drift predictions by comparison with observed oil slicks
    Frontiers in Marine Science 2023 ARKIV / DOI
  • QIANG WANG, Johannes Lohse, Anthony Paul Doulgeris, Torbjørn Eltoft :
    Data Augmentation for SAR Sea Ice and Water Classification Based on Per-Class Backscatter Variation With Incidence Angle
    IEEE Transactions on Geoscience and Remote Sensing 2023 DOI
  • Laurent Ferro-Famil, F Boutet, S Avrillon, Wolfgang Fritz Otto Dierking, Torbjørn Eltoft, Polona Itkin m.fl.:
    Overview of Ground-Based Radar Measurements of Snow-Covered Sea-Ice Led During the 2022 CIRFA Arctic Cruise
    IEEE International Geoscience and Remote Sensing Symposium proceedings 2023 DOI
  • Torbjørn Eltoft, Malin Johansson, Johannes Lohse, Laurent Ferro-Famil :
    Analysis of Time Series of Polarimetric Sea Ice Signatures Observed In Fast Ice in the Belgica Bank Area
    IEEE International Geoscience and Remote Sensing Symposium proceedings 2023 DOI
  • 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
  • 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
  • Muhammad Asim, Atsushi Matsuoka, Pål Gunnar Ellingsen, Camilla Brekke, Torbjørn Eltoft, Katalin Blix :
    A new spectral harmonization algorithm for Landsat-8 and Sentinel-2 remote sensing reflectance products using machine learning: a case study for the Barents Sea (European Arctic)
    IEEE Transactions on Geoscience and Remote Sensing 2022 ARKIV / DOI
  • 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 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 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
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021 ARKIV / DOI
  • Cornelius Quigley, Camilla Brekke, Torbjørn Eltoft :
    Inferring the Dielectric Properties of Oil Slick from Multifrequency SAR imagery via a Polarimetric Two-Scale Model
    Electronic proceedings (EUSAR) 2021 ARKIV / FULLTEKST
  • 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
  • Muhammad Asim, Camilla Brekke, Arif Mahmood, Torbjørn Eltoft, Marit Reigstad :
    Improving Chlorophyll-a Estimation from Sentinel-2 (MSI) in the Barents Sea using Machine Learning
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021 ARKIV / DOI
  • Desta Haileselassie Hagos, Theofilos Kakantousis, Vladimir Vlassov, Sina Sheikholeslami, Tianze Wang, Jim Dowling m.fl.:
    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 :
    Unsupervised Information Selection In Multimodal Sea Ice Remote Sensing
    The International Association for Hydro-Environment Engineering and Research (IAHR) 2020 FULLTEKST
  • Muhammad Asim, Camilla Brekke, Arif Mahmood, Torbjørn Eltoft, Marit Reigstad :
    Ocean Color Net (OCN) for the Barents Sea
    IEEE International Geoscience and Remote Sensing Symposium proceedings 2020
  • Cornelius Quigley, Camilla Brekke, Torbjørn Eltoft :
    Retrieval of Marine Surface Slick Dielectic Properties From Radarsat-2 Data via a Polarimetric Two-Scale Model
    IEEE Transactions on Geoscience and Remote Sensing 2020 ARKIV / DOI
  • Katalin Blix, Martine Espeseth, Torbjørn Eltoft :
    Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data
    IEEE Transactions on Geoscience and Remote Sensing 2020 ARKIV / DOI
  • Irena Hajnsek, Guiseppe Parella, Armando Marino, Torbjørn Eltoft, Marius Necsoiu, Leif E. Eriksson :
    Cryosphere Application. Delkapittel i "Polarimetric Synthetic Aperture Radar: Principles and Application." redigert av Irena Hajnsek og Yves-Louis Desnos
    Springer 2021
  • Jack Christopher Landy, Anthony Paul Doulgeris, Malin Johansson, Yang Zhang, Polona Itkin, Torbjørn Eltoft :
    Multi-decadal time series of sea ice type classification in the Atlantic sector of the Arctic Ocean retrieved from wide-swath Synthetic Aperture Radar data
    2023
  • QIANG WANG, Malin Johansson, Johannes Lohse, Anthony Paul Doulgeris, Torbjørn Eltoft :
    The impact of input features in deep learning based sea ice mapping
    2023
  • Wenkai Guo, Jack Christopher Landy, Anthony Paul Doulgeris, Malin Johansson, yang zhang, Polona Itkin m.fl.:
    Multi-decadal time series of sea ice type classification in the Atlantic sector of the Arctic Ocean retrieved from wide-swath Synthetic Aperture Radar data
    2023
  • Malin Johansson, Suman Singha, Randall K. Scharien, Torbjørn Eltoft, Stephen Howell, Gunnar Spreen :
    Sea ice type separation using the polarization difference in high resolution C- and L-band SAR images
    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
  • Torbjørn Eltoft, Debanshu Ratha, Laurent Ferro-Famil :
    Polarimetric Signatures for the Analysis of Fast Sea Ice in the Belgica Bank Area
    2023
  • Katalin Blix, Muhammad Asim, Huan Li, Torbjørn Eltoft :
    Comparison of in-situ and Sentinel 3 OLCI radiometric measurements in Lake Balaton
    2022
  • Muhammad Asim, Camilla Brekke, Torbjørn Eltoft, Katalin Blix :
    Preliminary analysis of combined Sentinel-2 and Landsat-8 remote sensing reflectance products for improved monitoring of Chlorophyll-a over the Barents Sea
    2022
  • Muhammad Asim, Camilla Brekke, Torbjørn Eltoft, Katalin Blix :
    Optical Remote Sensing and Machine Learning for Water Quality Parameter Retrieval in the Barents Sea
    2022
  • Debanshu Ratha, Malin Johansson, Andrea Marinoni, Torbjørn Eltoft :
    GD-derived Polarimetric Parameters for identifying Sea Ice in C-band SAR Images
    2022
  • Wolfgang Fritz Otto Dierking, Andrea Schneider, Torbjørn Eltoft, Sebastian Gerland :
    CIRFA Cruise 2022. Cruise report.
    UiT Norges arktiske universitet 2022 FULLTEKST / ARKIV
  • Qiang Wang, Anthony Paul Doulgeris, Torbjørn Eltoft :
    Physics-Aware Training Data to Improve Machine Learning for Sea Ice Classification from Sentinel-1 SAR Scenes
    2022
  • Johannes Lohse, Torbjørn Eltoft, Salman Khaleghian, Qiang Wang :
    Sea ice classification methodologies developed in CIRFA
    2022
  • Debanshu Ratha, Torbjørn Eltoft, Andrea Marinoni :
    Discrimination of Ice and Water using PolSAR Parameter-based Clustering
    2021
  • Torbjørn Eltoft, Camilla Brekke, Raymond Kristiansen :
    Nasjonalt senter for jordobservasjon i Tromsø
    Nordlys 2021 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
  • Malin Johansson, Torbjørn Eltoft, Suman Singha, Polona Itkin, Gunnar Spreen, Stephen Howell m.fl.:
    L- and C-band Synthetic Aperture Radar data analysis from the yearlong MOSAiC expedition
    2021
  • Torbjørn Eltoft, Malin Johansson, Anthony Paul Doulgeris, Suman Singha, Polona Itkin, Katalin Blix :
    Advancing information extraction on Arctic sea ice using a multi-sensor and multi-temporal integrated approach
    2021
  • Torbjørn Eltoft :
    Can Transfer Learning Solve Remote Sensing Challenges in Ocean Colour?
    2021
  • Torbjørn Eltoft :
    Challenges in DL-based sea ice classification from SAR. Lessons from ExtremeEarth
    2021
  • Torbjørn Eltoft :
    Deep Learning Challenges in Sea Ice Classification
    2021
  • Torbjørn Eltoft :
    CIRFA: Remote Sensing in Arctic Applications
    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
  • Cornelius Quigley, Camilla Brekke, Torbjørn Eltoft :
    Stability Analysis of Freely Floating Oil Slick in Multifrequency Airborne SAR Imagery Acquired in S- and L-band
    2021
  • 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
  • Sebastian Gerland, Dmitry V Divine, Wolfgang Fritz Otto Dierking, Anthony Paul Doulgeris, Torbjørn Eltoft, Malin Johansson :
    Use of in situ and airborne Arctic sea ice surveys for SAR satellite remote sensing application improvements
    2020

    • De 50 siste resultatene fra Cristin vises på siden. Se alle arbeider i Cristin her →

    Forskningsinteresser

    • Signal Processing  
    • Image Processing
    • Neural Networks
    • Remote Sensing  
    Forskerprofil i Cristin

    Medlem i forskningsgruppe

    Earth Observation   Norsk innhold