Stian-Anfinsen.jpg
Photo: Geir Antonsen
Stian-Anfinsen.jpg
Department of Physics and Technology san004@post.uit.no +4777645173 906 56121 Tromsø FPARK B 272

Stian Normann Anfinsen


Adjunct Professor / Machine Learning

Job description

20 % position as professor with UiT's Machine Learning Group and main affiliation as senior researcher at NORCE Norwegian Research Centre.


  • Jørgen Andreas Agersborg, Stian Normann Anfinsen, Jane Uhd Jepsen :
    Guided Nonlocal Means Estimation of Polarimetric Covariance for Canopy State Classification
    IEEE Transactions on Geoscience and Remote Sensing 2022 DOI
  • Sara Maria Björk, Stian Normann Anfinsen, Erik Næsset, Terje Gobakken, Eliakimu Zahabu :
    On the Potential of Sequential and Nonsequential Regression Models for Sentinel-1-Based Biomass Prediction in Tanzanian Miombo Forests
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2022 DOI
  • Luigi Tommaso Luppino, Mads Adrian Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen et al.:
    Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images
    IEEE Transactions on Neural Networks and Learning Systems 2022 DOI
  • Hao Chen, Yngve Birkelund, Stian Normann Anfinsen, Reidar Staupe-Delgado, Fuqing Yuan :
    Assessing probabilistic modelling for wind speed from numerical weather prediction model and observation in the Arctic
    Scientific Reports 2021 ARKIV / DOI
  • Hao Chen, Yngve Birkelund, Stian Normann Anfinsen, Fuqing Yuan :
    Comparative study of data-driven short-term wind power forecasting approaches for the Norwegian Arctic region
    Journal of Renewable and Sustainable Energy 2021 ARKIV / DOI
  • Huamin Ren, Filippo Maria Bianchi, Jingyue Li, Rasmus L. Olsen, Robert Jenssen, Stian Normann Anfinsen :
    Towards Applicability: A Comparative Study on Non-Intrusive Load Monitoring Algorithms
    IEEE conference proceedings 2021 DOI
  • Hao Chen, Stian Normann Anfinsen, Yngve Birkelund, Fuqing Yuan :
    Probability distributions for wind speed volatility characteristics: A case study of Northern Norway
    Energy Reports 2021 ARKIV / DOI
  • Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano Bruno Serpico, Robert Jenssen et al.:
    Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
    IEEE Transactions on Geoscience and Remote Sensing 2021 ARKIV / DOI
  • Bilal Babar, Luigi Tommaso Luppino, Tobias Boström, Stian Normann Anfinsen :
    Random forest regression for improved mapping of solar irradiance at high latitudes
    Solar Energy 2020 DOI
  • Luigi Tommaso Luppino, Filippo Maria Bianchi, Gabriele Moser, Stian Normann Anfinsen :
    Unsupervised Image Regression for Heterogeneous Change Detection
    IEEE Transactions on Geoscience and Remote Sensing 14. August 2019 ARKIV / FULLTEKST / DOI
  • Luigi Tommaso Luppino, Filippo Maria Bianchi, Gabriele Moser, Stian Normann Anfinsen :
    Remote sensing image regression for heterogeneous change detection
    IEEE Signal Processing Society 2018 FULLTEKST / DOI
  • Torbjørn Eltoft, Stian Normann Anfinsen, Anthony Paul Doulgeris, Laurent Ferro-Famil :
    Polarimetric SAR Modelling: Mellin Kind Statistics and Time-Frequency Analysis
    Springer 2018 DOI
  • Dingsheng Hu, Stian Normann Anfinsen, X Qiu, Anthony Paul Doulgeris, Bin Lei :
    Unsupervised Mixture-Eliminating Estimation of Equivalent Number of Looks for PolSAR Data
    IEEE Transactions on Geoscience and Remote Sensing 2017 ARKIV / DOI
  • Luigi Tommaso Luppino, Stian Normann Anfinsen, Gabriele Moser, Robert Jenssen, Filippo Maria Bianchi, Sebastian Bruno Serpico et al.:
    A clustering approach to heterogeneous change detection
    Springer 2017 FULLTEKST / DOI
  • Dingsheng Hu, Xiaolan Qiu, Stian Normann Anfinsen, Bin Lei :
    Unsupervised Estimation of the Equivalent Number of Looks in PolSAR Image with High Heterogeneity
    Dianzi Yu Xinxi Xuebao 2017 ARKIV / DOI
  • Martine Espeseth, Camilla Brekke, Stian Normann Anfinsen :
    Hybrid-Polarity and Reconstruction Methods for Sea Ice With L- and C-Band SAR
    IEEE Geoscience and Remote Sensing Letters 2016 DOI
  • Tao Ding, Stian Normann Anfinsen, Camilla Brekke :
    Robust CFAR Detector Based on Truncated Statistics in Multiple-Target Situations
    IEEE Transactions on Geoscience and Remote Sensing 2016 DOI
  • Vahid Akbari, Stian Normann Anfinsen, Anthony Paul Doulgeris, Torbjørn Eltoft, Gabriele Moser, Sebastiano Bruno Serpico :
    Polarimetric SAR Change Detection with the Complex Hotelling-Lawley Trace Statistic
    IEEE Transactions on Geoscience and Remote Sensing 2016 ARKIV / DOI
  • Mari-Ann Moen, Stian Normann Anfinsen, Anthony Paul Doulgeris, Angelika Renner, Sebastian Gerland :
    Assessing polarimetric SAR sea-ice classifications using consecutive day images
    Annals of Glaciology 2015 ARKIV / DOI
  • Vahid Akbari, Stian Normann Anfinsen, Anthony Paul Doulgeris, Torbjørn Eltoft :
    A change detector for polarimetric SAR data based on the relaxed Wishart distribution
    IEEE International Geoscience and Remote Sensing Symposium proceedings 2015 ARKIV / DOI
  • Torbjørn Eltoft, Stian Normann Anfinsen, Anthony Paul Doulgeris :
    A Multitexture Model for Multilook Polarimetric Synthetic Aperture Radar Data
    IEEE Transactions on Geoscience and Remote Sensing 2014 ARKIV / DOI
  • Tao Ding, Stian Normann Anfinsen, Camilla Brekke :
    A comparative study of sea clutter covariance matrix estimators
    IEEE Geoscience and Remote Sensing Letters 2014 ARKIV / DOI
  • Vahid Akbari, Anthony Paul Doulgeris, Moser Gabriele, Torbjørn Eltoft, B. Serpico Sebastiano, Stian Normann Anfinsen :
    A Textural–Contextual Model for Unsupervised Segmentation of Multipolarization Synthetic Aperture Radar Images
    IEEE Transactions on Geoscience and Remote Sensing 2013 ARKIV / DOI
  • Vahid Akbari, Stian Normann Anfinsen, Anthony Paul Doulgeris, Torbjørn Eltoft :
    The Hotelling-Lawley trace statistic for change detection in polarimetric SAR data under the complex Wishart distribution
    IEEE International Geoscience and Remote Sensing Symposium proceedings 2013 ARKIV / DOI
  • Mari-Ann Moen, Anthony Paul Doulgeris, Stian Normann Anfinsen, Angelika H.H. Renner, Nick Hughes, Sebastian Gerland et al.:
    Comparison of feature based segmentation of full polarimetric SAR satellite sea ice images with manually drawn ice charts
    The Cryosphere 2013 ARKIV / DOI
  • Camilla Brekke, Stian Normann Anfinsen, yngvar Larsen :
    Subband Extraction Strategies in Ship Detection With the Subaperture Cross-Correlation Magnitude
    IEEE Geoscience and Remote Sensing Letters 2013 ARKIV / DOI
  • Torbjørn Eltoft, Anthony Paul Doulgeris, Stian Normann Anfinsen :
    Analysis of textured PolSAR data by Shannon entropy
    IEEE Geoscience and Remote Sensing Letters 2012
  • Stian Normann Anfinsen, Camilla Brekke :
    Statistical models for constant false alarm rate ship detection with the sublook correlation magnitude
    IEEE Geoscience and Remote Sensing Letters 2012
  • Anthony Paul Doulgeris, Stian Normann Anfinsen, Torbjørn Eltoft :
    Segmentation of polarimetric SAR data with a multi-texture product model
    IEEE Geoscience and Remote Sensing Letters 2012
  • Stian Normann Anfinsen :
    Koherensprodukt fra Sentinel-1
    2022
  • Jørgen Andreas Agersborg, Stian Normann Anfinsen, Jane Uhd Jepsen :
    Polarimetric Guided Nonlocal Means Covariance Matrix Estimation for Defoliation Mapping
    2020
  • Stian Normann Anfinsen, Luigi Tommaso Luppino, Mads Adrian Hansen, Gabriele Moser, Sebastian Bruno Serpico :
    Unsupervised Heterogeneous Change Detection in Radar Images by Cross-domain Affinity Matching
    2020
  • Sara Björk, Stian Normann Anfinsen, Erik Næsset, Terje Gobakken, Eliakimu Zahabu :
    Generation of Lidar-Predicted Forest Biomass Maps from Radar Backscatter with Conditional Generative Adversarial Networks
    2020 ARKIV
  • Gabriele Moser, Stian Normann Anfinsen, Luigi Tommaso Luppino, Sebastian Bruno Serpico :
    Change Detection with Heterogeneous Remote Sensing Data: From Semi-Parametric Regression to Deep Learning
    2020
  • Federico Figari Tomenotti, Luigi Tommaso Luppino, Mads Adrian Hansen, Gabriele Moser, Stian Normann Anfinsen :
    Heterogeneous Change Detection with Self-supervised Deep Canonically Correlated Autoencoders
    2020
  • Jørgen Andreas Agersborg, Stian Normann Anfinsen, Jane Uhd Jepsen :
    Forest Structure Analysis From Polarimetric Radar Data Using Machine Learning
    2019
  • Anders Andersen, Stian Normann Anfinsen, Luca Frediani :
    Fremragende læring med beregningsorientert programmering
    Nordic Journal of STEM Education 2019 FULLTEKST / SAMMENDRAG
  • Anders Andersen, Stian Normann Anfinsen, Luca Frediani :
    Fremragende læring med beregningsorientert programmering
    2019
  • Torgeir Brenn, Lars-Petter Gjøvik, Gunnar Ljosdahl Rasmussen, Tony Bauna, Michael Kampffmeyer, Robert Jenssen et al.:
    Operationalizing Ship Detection Using Deep Learning
    2019 FULLTEKST
  • Dingsheng Hu, Stian Normann Anfinsen, Ding Tao, Xiaolan Qiu :
    Investigation of variations in the equivalent number of looks for polarimetric channels
    2015
  • Tao Ding, Camilla Brekke, Torbjørn Eltoft, Stian Normann Anfinsen :
    Maritime Target Detection in Non-homogeneous Sea Clutter Environments based on Single- and Multi-polarization Synthetic Aperture Radar Data
    2015
  • Canbin Hu, Laurent Ferro-Famil, Camilla Brekke, Stian Normann Anfinsen :
    SHIP DETECTION USING POLARIMETRIC RADARSAT-2 DATA AND MULTI-DIMENSIONAL COHERENT TIME-FREQUENCY ANALYSIS
    2013
  • Paul R. Kersten, Stian Normann Anfinsen :
    A flexible and computationally efficient density model for the multilook polarimetric covariance matrix
    2012
  • Torbjørn Eltoft, Anthony Paul Doulgeris, Stian Normann Anfinsen :
    Analysis of textured PolSAR data by Shannon entropy
    2012
  • Paul R. Kersten, Stian Normann Anfinsen, Anthony Paul Doulgeris :
    The Wishart-Kotz classifier for multilook polarimetric SAR data
    2012
  • Jean-Marie Nicolas, Stian Normann Anfinsen :
    Introduction to second kind statistics: Application of log-moments and log-cumulants to the analysis of radar image distributions
    2012
  • Mari-Ann Moen, Anthony Paul Doulgeris, Stian Normann Anfinsen, Nick Hughes, Angelika H.H. Renner, Sebastian Gerland et al.:
    Comparison of feature based segmentation of SAR satellite sea ice images with manually drawn ice charts
    2012
  • Anthony Paul Doulgeris, Stian Normann Anfinsen, Torbjørn Eltoft :
    Segmentation of polarimetric SAR data with a multi-texture product model
    2012
  • Tao Ding, Stian Normann Anfinsen, Camilla Brekke :
    Ocean Clutter Modeling for Ship Detection
    2012
  • Stian Normann Anfinsen, Camilla Brekke :
    Statistical models for constant false alarm rate ship detection with the sublook correlation magnitude
    2012

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    Research interests

    • Analysis of multimodal/heterogeous image data using graph theory and deep learning
    • Machine learning for medical image analysis and oncological studies (fusion of PET, MR and CT images)
    • Energy analytics (machine learning applied to data from renewable energy and power grids)

    Member of research group



    FPARK B 272

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