Search Results - "Sveinsson, Johannes R."

Multispectral and Hyperspectral Image Fusion Using a 3-D-Convolutional Neural Network by Palsson, Frosti, Sveinsson, Johannes R., Ulfarsson, Magnus O.

“…In this letter, we propose a method using a 3-D convolutional neural network to fuse together multispectral and hyperspectral (HS) images to obtain a high…”
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A New Pansharpening Algorithm Based on Total Variation by Palsson, Frosti, Sveinsson, Johannes R., Ulfarsson, Magnus O.

“…In this letter, we present a new method for the pansharpening of multispectral satellite imagery. Pansharpening is the process of synthesizing a high spatial…”
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Hyperspectral Unmixing Using a Neural Network Autoencoder by Palsson, Burkni, Sigurdsson, Jakob, Sveinsson, Johannes R., Ulfarsson, Magnus O.

“…In this paper, we present a deep learning based method for blind hyperspectral unmixing in the form of a neural network autoencoder. We show that the linear…”
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Blind Hyperspectral Unmixing Using Autoencoders: A Critical Comparison by Palsson, Burkni, Sveinsson, Johannes R., Ulfarsson, Magnus O.

“…Deep learning (DL) has heavily impacted the data-intensive field of remote sensing. Autoencoders are a type of DL methods that have been found to be powerful…”
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Automatic Spectral-Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction by Ghamisi, Pedram, Benediktsson, Jón Atli, Sveinsson, Johannes R.

“…A robust framework for the classification of hyperspectral images which takes into account both spectral and spatial information is proposed. The extended…”
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Quantitative Quality Evaluation of Pansharpened Imagery: Consistency Versus Synthesis by Palsson, Frosti, Sveinsson, Johannes R., Ulfarsson, Magnus Orn, Benediktsson, Jon Atli

“…Pansharpening is the process of fusing a high-resolution panchromatic image and a low-spatial-resolution multispectral image to yield a high-spatial-resolution…”
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Synthesis of Synthetic Hyperspectral Images with Controllable Spectral Variability Using a Generative Adversarial Network by Palsson, Burkni, Ulfarsson, Magnus O., Sveinsson, Johannes R.

“…In hyperspectral unmixing (HU), spectral variability in hyperspectral images (HSIs) is a major challenge which has received a lot of attention over the last…”
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Sparse Distributed Multitemporal Hyperspectral Unmixing by Sigurdsson, Jakob, Ulfarsson, Magnus O., Sveinsson, Johannes R., Bioucas-Dias, Jose M.

“…Blind hyperspectral unmixing jointly estimates spectral signatures and abundances in hyperspectral images (HSIs). Hyperspectral unmixing is a powerful tool for…”
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A Comparison of Optimized Sentinel-2 Super-Resolution Methods Using Wald’s Protocol and Bayesian Optimization by Armannsson, Sveinn E., Ulfarsson, Magnus O., Sigurdsson, Jakob, Nguyen, Han V., Sveinsson, Johannes R.

“…In the context of earth observation and remote sensing, super-resolution aims to enhance the resolution of a captured image by upscaling and enhancing its…”
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Fusing Sentinel-2 and Landsat 8 Satellite Images Using a Model-Based Method by Sigurdsson, Jakob, Armannsson, Sveinn E., Ulfarsson, Magnus O., Sveinsson, Johannes R.

“…The Copernicus Sentinel-2 (S2) constellation comprises of two satellites in a sun-synchronous orbit. The S2 sensors have three spatial resolutions: 10, 20, and…”
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Spectral-Spatial Hyperspectral Unmixing Using Multitask Learning by Palsson, Burkni, Sveinsson, Johannes R., Ulfarsson, Magnus O.

“…Hyperspectral unmixing is an important and challenging task in the field of remote sensing which arises when the spatial resolution of sensors is insufficient…”
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Hyperspectral Image Denoising Using First Order Spectral Roughness Penalty in Wavelet Domain by Rasti, Behnood, Sveinsson, Johannes R., Ulfarsson, Magnus Orn, Benediktsson, Jon Atli

“…In this paper, a new denoising method for hyperspectral images is proposed using First Order Roughness Penalty (FORP). FORP is applied in the wavelet domain to…”
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Unsupervised and Supervised Feature Extraction Methods for Hyperspectral Images Based on Mixtures of Factor Analyzers by Zhao, Bin, Ulfarsson, Magnus O., Sveinsson, Johannes R., Chanussot, Jocelyn

“…This paper proposes three feature extraction (FE) methods based on density estimation for hyperspectral images (HSIs). The methods are a mixture of factor…”
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Sentinel-2 Sharpening Using a Single Unsupervised Convolutional Neural Network With MTF-Based Degradation Model by Nguyen, Han V., Ulfarsson, Magnus O., Sveinsson, Johannes R., Mura, Mauro Dalla

“…The Sentinel-2 (S2) constellation provides multispectral images at 10 m, 20 m, and 60 m resolution bands. Obtaining all bands at 10 m resolution would benefit…”
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Convolutional Autoencoder for Spectral-Spatial Hyperspectral Unmixing by Palsson, Burkni, Ulfarsson, Magnus O., Sveinsson, Johannes R.

“…Blind hyperspectral unmixing is the process of expressing the measured spectrum of a pixel as a combination of a set of spectral signatures called endmembers…”
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Model-Based Fusion of Multi- and Hyperspectral Images Using PCA and Wavelets by Palsson, Frosti, Sveinsson, Johannes R., Ulfarsson, Magnus Orn, Benediktsson, Jon Atli

“…In remote sensing, due to cost and complexity issues, multispectral (MS) and hyperspectral (HS) sensors have significantly lower spatial resolution than…”
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Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural Networks by Nguyen, Han V., Ulfarsson, Magnus O., Sveinsson, Johannes R.

“…Hyperspectral images (HSIs) are useful for many remote sensing applications. However, they are usually affected by noise that degrades the HSIs quality…”
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Improved 3D reconstruction in smart-room environments using ToF imaging by Árni Guðmundsson, Sigurjón, Pardàs, Montse, Casas, Josep R., Sveinsson, Jóhannes R., Aanæs, Henrik, Larsen, Rasmus

“…► SfS reconstruction with color cameras is difficult due to false foreground detections. ► ToF camera range images provide simple and robust foreground…”
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Model-Based Reduced-Rank Pansharpening by Palsson, Frosti, Ulfarsson, Magnus O., Sveinsson, Johannes R.

“…Observation of the Earth using satellites mounted with optical sensors is an important application of remote sensing. Owing to physical constraints,…”
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Hyperspectral Image Denoising Using Spectral-Spatial Transform-Based Sparse and Low-Rank Representations by Zhao, Bin, Ulfarsson, Magnus O., Sveinsson, Johannes R., Chanussot, Jocelyn

“…This article proposes a denoising method based on sparse spectral-spatial and low-rank representations (SSSLRR) using the 3-D orthogonal transform (3-DOT)…”
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