Sveinsson, J.R.
* 1997: Feature-Extraction for Multisource Data Classification with Artificial Neural Networks
* 1997: Parallel Consensual Neural Networks
* 2002: Multiple classifiers applied to multisource remote sensing data
* 2003: Almost translation invariant wavelet transformations for speckle reduction of SAR images
* 2003: Multisource remote sensing data classification based on consensus and pruning
* 2005: Classification of Hyperspectral Data From Urban Areas Based on Extended Morphological Profiles
* 2006: Random Forests for land cover classification
* 2008: Model-Based Satellite Image Fusion
* 2008: Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles
* 2010: Improved 3D reconstruction in smart-room environments using ToF imaging
* 2010: Model-Based Hand Gesture Tracking in ToF Image Sequences
* 2014: Automatic Spectral-Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction
* 2014: Hyperspectral Unmixing With L_q Regularization
* 2014: Wavelet-Based Sparse Reduced-Rank Regression for Hyperspectral Image Restoration
* 2015: Model-Based Fusion of Multi- and Hyperspectral Images Using PCA and Wavelets
* 2016: Blind Hyperspectral Unmixing Using Total Variation and L_q Sparse Regularization
* 2016: Classification of Big Data With Application to Imaging Genetics
* 2016: Hyperspectral Feature Extraction Using Total Variation Component Analysis
* 2016: Quantitative Quality Evaluation of Pansharpened Imagery: Consistency Versus Synthesis
* 2017: Sparse Distributed Multitemporal Hyperspectral Unmixing
* 2018: Sentinel-2 Image Fusion Using a Deep Residual Network
* 2019: Sentinel-2 Sharpening Using a Reduced-Rank Method
* 2020: Unsupervised and Supervised Feature Extraction Methods for Hyperspectral Images Based on Mixtures of Factor Analyzers
* 2021: Comparison of Optimized Sentinel-2 Super-Resolution Methods Using Wald's Protocol and Bayesian Optimization, A
* 2021: Convolutional Autoencoder for Spectral-Spatial Hyperspectral Unmixing
* 2021: Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural Networks
* 2022: Fusing Sentinel-2 and Landsat 8 Satellite Images Using a Model-Based Method
* 2023: Synthesis of Synthetic Hyperspectral Images with Controllable Spectral Variability Using a Generative Adversarial Network
Includes: Sveinsson, J.R. Sveinsson, J.R.[Johannes R.] Sveinsson, J.R.[Jóhannes R.]
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