
Foto: Geir Antonsen
Torbjørn Eltoft
Professor / Jordobservasjon / Senterleder CIRFA
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
Victor Cesar Martins de Aguiar,
Johannes Röhrs,
Malin Johansson,
Torbjørn Eltoft
:
Assessing ocean ensemble drift predictions by comparison with observed oil slicks
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
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)
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
Cornelius Quigley,
Camilla Brekke,
Torbjørn Eltoft
:
Inferring the Dielectric Properties of Oil Slick from Multifrequency SAR imagery via a Polarimetric Two-Scale Model
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
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
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
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
Katalin Blix,
Martine Espeseth,
Torbjørn Eltoft
:
Machine Learning for Arctic Sea Ice Physical
Properties Estimation Using Dual-Polarimetric SAR
Data
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.
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
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Forskningsinteresser
- Signal Processing
- Image Processing
- Neural Networks
- Remote Sensing