Magnus O. Ulfarsson

Orcid: 0000-0002-0461-040X

According to our database1, Magnus O. Ulfarsson authored at least 123 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Exploring Transformer-Based Direction-of-Arrival Estimation Over Sea Surface: A BERT Approach With Physics-Based Loss Function.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Synthesis of Synthetic Hyperspectral Images with Controllable Spectral Variability Using a Generative Adversarial Network.
Remote. Sens., August, 2023

Unsupervised Sentinel-2 Image Fusion Using a Deep Unrolling Method.
IEEE Geosci. Remote. Sens. Lett., 2023

Spectral-Spatial Kernel Minimum Noise Fraction Transformation for Hyperspectral Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Hyperspectral Image Denoising Using Low-Rank and Sparse Model Based Deep Unrolling.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Sure-Ergas: Unsupervised Deep Learning Multispectral and Hyperspectral Image Fusion.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Model-Based Demosaicking for Acquisitions by a Rgbw Color Filter Array.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Superresolving Sentinel-2 Using Learned Multispectral Regularization.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Hyperspectral Image Denoising Using Spectral-Spatial Transform-Based Sparse and Low-Rank Representations.
IEEE Trans. Geosci. Remote. Sens., 2022

Deep SURE for Unsupervised Remote Sensing Image Fusion.
IEEE Trans. Geosci. Remote. Sens., 2022

Predicting Classification Performance for Benchmark Hyperspectral Datasets.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Blind Hyperspectral Unmixing Using Autoencoders: A Critical Comparison.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Fusing Sentinel-2 and Landsat 8 Satellite Images Using a Model-Based Method.
Remote. Sens., 2022

Semi-Supervised Mixtures of Factor Analyzers Feature Extraction for Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2022

Synthetic Hyperspectral Images With Controllable Spectral Variability and Ground Truth.
IEEE Geosci. Remote. Sens. Lett., 2022

Deep Sparse and Low-Rank Prior for Hyperspectral Image Denoising.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Hyperspectral Super-Resolution by Unsupervised Convolutional Neural Network and Sure.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Convolutional Autoencoder for Spectral-Spatial Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2021

Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2021

Sentinel-2 Sharpening Using a Single Unsupervised Convolutional Neural Network With MTF-Based Degradation Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A Comparison of Optimized Sentinel-2 Super-Resolution Methods Using Wald's Protocol and Bayesian Optimization.
Remote. Sens., 2021

Fully Constrained Least Squares Linear Spectral Unmixing of The Scream (Verso, 1893).
Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021

Non-Local Means Low-Rank Approximation for Hyperspectral Denoising.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Wavelet-Based Block Low-Rank Representations for Hyperspectral Denoising.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Fusing Sentinel-2 Satellite Images and Aerial RGB Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Sharpening the 20 M Bands of SENTINEL-2 Image Using an Unsupervised Convolutional Neural Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Tuning Parameter Selection for Sentinel-2 Sharpening Using Wald's Protocol.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Unsupervised and Supervised Feature Extraction Methods for Hyperspectral Images Based on Mixtures of Factor Analyzers.
Remote. Sens., 2020

Model-Based Reduced-Rank Pansharpening.
IEEE Geosci. Remote. Sens. Lett., 2020

Hyperspectral Images Denoising Based on Mixtures of Factor Analyzers.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Local Spatial-Spectral Correlation Based Mixtures of Factor Analyzers for Hyperspectral Denoising.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Zero-Shot Sentinel-2 Sharpening Using a Symmetric Skipped Connection Convolutional Neural Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Sure Based Convolutional Neural Networks for Hyperspectral Image Denoising.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Creating RGB Images from Hyperspectral Images Using a Color Matching Function.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Sentinel-2 Sharpening Using a Reduced-Rank Method.
IEEE Trans. Geosci. Remote. Sens., 2019

Hyperspectral Feature Extraction Using Sparse and Smooth Low-Rank Analysis.
Remote. Sens., 2019

The 2014-2015 Lava Flow Field at Holuhraun, Iceland: Using Airborne Hyperspectral Remote Sensing for Discriminating the Lava Surface.
Remote. Sens., 2019

Spectral-Spatial Hyperspectral Unmixing Using Multitask Learning.
IEEE Access, 2019

Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

(Semi-) Supervised Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Weighted Blind ℓq Hyperspectral Unmixing.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Convolutional Autoencoder for Spatial-Spectral Hyperspectral Unmixing.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Optimal Component Substitution and Multi-Resolution Analysis Pansharpening Methods Using a Convolutional Neural Network.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Multitask Learning for Spatial-Spectral Hyperspectral Unmixing.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A metrological spectral difference space for the statistical modelling of hyperspectral images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Sentinel-2 Image Fusion Using a Deep Residual Network.
Remote. Sens., 2018

New Insights for Detecting and Deriving Thermal Properties of Lava Flow Using Infrared Satellite during 2014-2015 Effusive Eruption at Holuhraun, Iceland.
Remote. Sens., 2018

Blind Sparse Nonlinear Hyperspectral Unmixing Using an ℓ<sub>q</sub> Penalty.
IEEE Geosci. Remote. Sens. Lett., 2018

Hyperspectral Unmixing Using a Neural Network Autoencoder.
IEEE Access, 2018

Parameter Estimation For Blind lq Hyperspectral Unmixing Using Bayesian Optimization.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Single Sensor Image Fusion Using A Deep Convolutional Generative Adversarial Network.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Single Sensor Image Fusion Using a Deep Residual Network.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Label Noise Robust Classification Of Hyperspectral Data.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

A Low-Rank Method for Sentinel-2 Sharpening Using Cyclic Descent.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Blind Nonlinear Hyperspectral Unmixing Using an $\ell_{q}$ Regularizer.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Sparse and Smooth Feature Extraction for Hyperspectral Imagery.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Sparse Distributed Multitemporal Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2017

Automatic Hyperspectral Image Restoration Using Sparse and Low-Rank Modeling.
IEEE Geosci. Remote. Sens. Lett., 2017

Multispectral and Hyperspectral Image Fusion Using a 3-D-Convolutional Neural Network.
IEEE Geosci. Remote. Sens. Lett., 2017

Sparse and low rank hyperspectral unmixing.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Fast multitemporal hyperspectral unmixing.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Neural network hyperspectral unmixing with spectral information divergence objective.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Blind Hyperspectral Unmixing Using Total Variation and ℓ<sub>q</sub> Sparse Regularization.
IEEE Trans. Geosci. Remote. Sens., 2016

Hyperspectral Feature Extraction Using Total Variation Component Analysis.
IEEE Trans. Geosci. Remote. Sens., 2016

Quantitative Quality Evaluation of Pansharpened Imagery: Consistency Versus Synthesis.
IEEE Trans. Geosci. Remote. Sens., 2016

MTF-Based Deblurring Using a Wiener Filter for CS and MRA Pansharpening Methods.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Classification of Big Data With Application to Imaging Genetics.
Proc. IEEE, 2016

Sparse distributed hyperspectral unmixing.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Distributed dyadic cyclic descent for non-negative matrix factorization.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Large-scale l0 sparse inverse covariance estimation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Model-Based Fusion of Multi- and Hyperspectral Images Using PCA and Wavelets.
IEEE Trans. Geosci. Remote. Sens., 2015

Selecting the Number of Principal Components with SURE.
IEEE Signal Process. Lett., 2015

Hyperspectral Subspace Identification Using SURE.
IEEE Geosci. Remote. Sens. Lett., 2015

Total variation and ℓq based hyperspectral unmixing for feature extraction and classification.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

MTF-deblurring preprocessing for CS and MRA pansharpening methods.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Model based pansharpening method based on TV and MTF deblurring.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Sparse and low rank decomposition using l0 penalty.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

MIST: L0 sparse linear regression with momentum.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Hyperspectral Unmixing With l<sub>q</sub> Regularization.
IEEE Trans. Geosci. Remote. Sens., 2014

Wavelet-Based Sparse Reduced-Rank Regression for Hyperspectral Image Restoration.
IEEE Trans. Geosci. Remote. Sens., 2014

Spectral-Spatial Classification of Hyperspectral Images Based on Hidden Markov Random Fields.
IEEE Trans. Geosci. Remote. Sens., 2014

Hyperspectral Image Denoising Using First Order Spectral Roughness Penalty in Wavelet Domain.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

A New Pansharpening Algorithm Based on Total Variation.
IEEE Geosci. Remote. Sens. Lett., 2014

Endmember constrained semi-supervised hyperspectral unmixing.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Semi-supervised hyperspectral unmixing.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Sure based model selection for hyperspectral imaging.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Total variation based hyperspectral feature extraction.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Hyperspectral image denoising using a sparse low rank model and dual-tree complex wavelet transform.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Model based PCA/wavelet fusion of multispectral and hyperspectral images.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Sparse component analysis via dyadic cyclic descent.
Proceedings of the IEEE International Conference on Acoustics, 2014

Sparse Gaussian noisy independent component analysis.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Tuning Parameter Selection for Underdetermined Reduced-Rank Regression.
IEEE Signal Process. Lett., 2013

Smooth and sparse hyperspectral unmixing using an l0 penalty.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Wavelet based sparse Principal Component Analysis for hyperspectral denoising.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

First order roughness penalty for hyperspectral image denoising.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Smooth spectral unmixing using total variation regularization and a first order roughness penalty.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Sparse representation of hyperspectral data using CUR matrix decomposition.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Hyperspectral image denoising using a new linear model and Sparse Regularization.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Pansharpening via sparsity optimization using overcomplete transforms.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

The spectral-spatial classification of hyperspectral images based on Hidden Markov Random Field and its Expectation-Maximization.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Tuning parameter selection for nonnegative matrix factorization.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
A smooth hyperspectral unmixing method using cyclic descent.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Hyperspectral image denoising using 3D wavelets.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

A new pansharpening method using an explicit image formation model regularized via Total Variation.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

SAR image denoising using total variation based regularization with sure-based optimization of the regularization parameter.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Sparse loading noisy PCA using an l0 penalty.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Vector l<sub>0</sub> Sparse Variable PCA.
IEEE Trans. Signal Process., 2011

Sparse variable reduced rank regression via Stiefel optimization.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Super-resolution: an efficient method to improve spatial resolution of hyperspectral images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Sparse variable noisy PCA using l0 penalty.
Proceedings of the IEEE International Conference on Acoustics, 2010

A semiparametric PCA approach to fMRI data analysis.
Proceedings of the IEEE International Conference on Acoustics, 2010

Threshold selection for group sparsity.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Speckle Reduction of SAR Images using Sure-based Adaptive Sigmoid Thresholding in the Wavelet Domain.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Sparse variable PCA using a steepest descent on a Grassman manifold.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Sparse Variable PCA Using Geodesic Steepest Descent.
IEEE Trans. Signal Process., 2008

Dimension Estimation in Noisy PCA With SURE and Random Matrix Theory.
IEEE Trans. Signal Process., 2008

Rank selection in noist PCA with sure and random matrix theory.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Sparse Variable Principal Component Analysis with Application to Fmri.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
Spatially Local and Temporally Smooth PCA for fMRI.
Proceedings of the International Conference on Image Processing, 2006

Smooth Principal Component Analysis with Application to Functional Magnetic Resonance Imaging.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2003
Wavelet footprints for speckle reduction of SAR images.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003

2002
Speckle reduction of SAR images in the curvelet domain.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

Wavelet feature extraction and genetic feature selection for multisource data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002


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