Magnus O. Ulfarsson, Ph.D.
Affiliations: | 2007 | University of Michigan, Ann Arbor, Ann Arbor, MI |
Area:
Electronics and Electrical EngineeringGoogle:
"Magnus Ulfarsson"Parents
Sign in to add mentorVictor Solo | grad student | 2007 | University of Michigan | |
(Model based principal component analysis with application to functional magnetic resonance imaging.) |
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Publications
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Zhao B, Ulfarsson MO, Sveinsson JR, et al. (2020) Unsupervised and Supervised Feature Extraction Methods for Hyperspectral Images Based on Mixtures of Factor Analyzers Remote Sensing. 12: 1179 |
Palsson F, Ulfarsson MO, Sveinsson JR. (2020) Model-Based Reduced-Rank Pansharpening Ieee Geoscience and Remote Sensing Letters. 17: 656-660 |
Ulfarsson MO, Palsson F, Mura MD, et al. (2019) Sentinel-2 Sharpening Using a Reduced-Rank Method Ieee Transactions On Geoscience and Remote Sensing. 57: 6408-6420 |
Palsson B, Sveinsson JR, Ulfarsson MO. (2019) Spectral-Spatial Hyperspectral Unmixing Using Multitask Learning Ieee Access. 7: 148861-148872 |
Sigurdsson J, Ulfarsson MO, Sveinsson JR. (2018) Blind Sparse Nonlinear Hyperspectral Unmixing Using an $\ell_{q}$ Penalty Ieee Geoscience and Remote Sensing Letters. 15: 1907-1911 |
Palsson B, Sigurdsson J, Sveinsson JR, et al. (2018) Hyperspectral Unmixing Using a Neural Network Autoencoder Ieee Access. 6: 25646-25656 |
Sigurdsson J, Ulfarsson MO, Sveinsson JR, et al. (2017) Sparse Distributed Multitemporal Hyperspectral Unmixing Ieee Transactions On Geoscience and Remote Sensing. 55: 6069-6084 |
Rasti B, Ulfarsson MO, Ghamisi P. (2017) Automatic Hyperspectral Image Restoration Using Sparse and Low-Rank Modeling Ieee Geoscience and Remote Sensing Letters. 14: 2335-2339 |
Palsson F, Sveinsson JR, Ulfarsson MO. (2017) Multispectral and Hyperspectral Image Fusion Using a 3-D-Convolutional Neural Network Ieee Geoscience and Remote Sensing Letters. 14: 639-643 |
Rasti B, Ulfarsson MO, Sveinsson JR. (2016) Hyperspectral Feature Extraction Using Total Variation Component Analysis Ieee Transactions On Geoscience and Remote Sensing. 54: 6976-6985 |