Hyperspectral unmixing using a neural network autoencoder B Palsson, J Sigurdsson, JR Sveinsson, MO Ulfarsson
IEEE Access 6, 25646-25656, 2018
212 2018 Hyperspectral Unmixing With l_q Regularization J Sigurdsson, MO Ulfarsson, JR Sveinsson
Geoscience and Remote Sensing, IEEE Transactions on 52 (11), 6793-6806, 2014
81 2014 Creating RGB images from hyperspectral images using a color matching function M Magnusson, J Sigurdsson, SE Armansson, MO Ulfarsson, H Deborah, ...
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
50 2020 Blind Hyperspectral Unmixing Using Total Variation and J Sigurdsson, MO Ulfarsson, JR Sveinsson
IEEE Transactions on Geoscience and Remote Sensing 54 (11), 6371-6384, 2016
49 2016 Neural network hyperspectral unmixing with spectral information divergence objective F Palsson, J Sigurdsson, JR Sveinsson, MO Ulfarsson
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
37 2017 Classification of big data with application to imaging genetics MO Ulfarsson, F Palsson, J Sigurdsson, JR Sveinsson
Proceedings of the IEEE 104 (11), 2137-2154, 2016
29 2016 Sparse distributed multitemporal hyperspectral unmixing J Sigurdsson, MO Ulfarsson, JR Sveinsson, JM Bioucas-Dias
IEEE Transactions on Geoscience and Remote Sensing 55 (11), 6069-6084, 2017
28 2017 A comparison of optimized Sentinel-2 super-resolution methods using Wald’s protocol and Bayesian optimization SE Armannsson, MO Ulfarsson, J Sigurdsson, HV Nguyen, JR Sveinsson
Remote Sensing 13 (11), 2192, 2021
18 2021 Automated genotyping: combining neural networks and decision trees to perform robust allele calling JB Fjalldal, J Sigurdsson, K Benediktsson, LM Ellingsen
IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001
14 2001 Fully Constrained Least Squares Linear Spectral Unmixing of The Scream (Verso, 1893) H Deborah, MO Ulfarsson, J Sigurdsson
2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2021
13 2021 Blind Sparse Nonlinear Hyperspectral Unmixing Using an J Sigurdsson, MO Ulfarsson, JR Sveinsson
IEEE Geoscience and Remote Sensing Letters 15 (12), 1907-1911, 2018
13 2018 Semi-supervised hyperspectral unmixing J Sigurdsson, MO Ulfarsson, JR Sveinsson
2014 IEEE Geoscience and Remote Sensing Symposium, 3458-3461, 2014
13 2014 Smooth spectral unmixing using total variation regularization and a first order roughness penalty J Sigurdsson, MO Ulfarsson, JR Sveinsson, JA Benediktsson
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International …, 2013
12 * 2013 Fusing Sentinel-2 and Landsat 8 satellite images using a model-based method J Sigurdsson, SE Armannsson, MO Ulfarsson, JR Sveinsson
Remote Sensing 14 (13), 3224, 2022
10 2022 Zero-shot sentinel-2 sharpening using a symmetric skipped connection convolutional neural network HV Nguyen, MO Ulfarsson, JR Sveinsson, J Sigurdsson
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
10 2020 Endmember constrained semi-supervised hyperspectral unmixing J Sigurdsson, MO Ulfarsson, JR Sveinsson
2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2014
10 2014 Total variation and ℓq based hyperspectral unmixing for feature extraction and classification J Sigurdsson, MO Ulfarsson, JR Sveinsson
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
9 2015 Sparse distributed hyperspectral unmixing J Sigurdsson, MO Ulfarsson, JR Sveinsson, JM Bioucas-Dias
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016
7 2016 Smooth and sparse hyperspectral unmixing using an l0 penalty J Sigurdsson, MO Ulfarsson, JR Sveinsson
2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2013
7 2013 Blind Nonlinear Hyperspectral Unmixing Using an J Sigurdsson, MO Ulfarsson, JR Sveinsson
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
6 2018 
Magnus UlfarssonProfessor, Electrical and Computer Engineering, University of IcelandEmail confirmado em hi.is
