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Johannes R. Sveinsson

Johannes R. Sveinsson

D-Index & Metrics

Computer Science

D-Index
43
Citations
11899
World Ranking
7804
National Ranking
3

Overview

Johannes R. Sveinsson is affiliated with the University of Iceland in Iceland and has an extensive publication record in the fields of Engineering and Computer Science. Their research primarily focuses on media technology with a significant emphasis on remote sensing and image processing.

The scientist's work spans various subfields including:

  • Media Technology
  • Computer Vision and Pattern Recognition
  • Atmospheric Science
  • Biomedical Engineering
  • Ecology

Main research topics covered by Johannes R. Sveinsson include:

  • Advanced Image Fusion Techniques
  • Remote-Sensing Image Classification
  • Image and Signal Denoising Methods
  • Remote Sensing and Land Use
  • Advanced Image Processing Techniques
  • Image Enhancement Techniques
  • Advanced Chemical Sensor Technologies

Among the frequent publication venues for Johannes R. Sveinsson's work are:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

Notable recent papers authored or co-authored by Johannes R. Sveinsson include:

  • Convolutional Autoencoder for Spectral-Spatial Hyperspectral Unmixing, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Blind Hyperspectral Unmixing Using Autoencoders: A Critical Comparison, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural Networks, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Hyperspectral Image Denoising Using Spectral-Spatial Transform-Based Sparse and Low-Rank Representations, 2022, IEEE Transactions on Geoscience and Remote Sensing
  • Deep SURE for Unsupervised Remote Sensing Image Fusion, 2022, IEEE Transactions on Geoscience and Remote Sensing

Johannes R. Sveinsson collaborates frequently with several co-authors, including:

  • Magnús Ö. Úlfarsson
  • Han V. Nguyen
  • Burkni Palsson
  • Mauro Dalla Mura
  • Jocelyn Chanussot

Best Publications

  • Random Forests for land cover classification

    Pall Oskar Gislason;Jon Atli Benediktsson;Johannes R. Sveinsson

  • Classification of hyperspectral data from urban areas based on extended morphological profiles

    J.A. Benediktsson;J.A. Palmason;J.R. Sveinsson

  • Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles

    M. Fauvel;J.A. Benediktsson;J. Chanussot;J.R. Sveinsson

  • Multiple classifiers applied to multisource remote sensing data

    G.J. Briem;J.A. Benediktsson;J.R. Sveinsson

  • Multispectral and Hyperspectral Image Fusion Using a 3-D-Convolutional Neural Network

    Frosti Palsson;Johannes R. Sveinsson;Magnus O. Ulfarsson

  • A New Pansharpening Algorithm Based on Total Variation

    Frosti Palsson;Johannes R. Sveinsson;Magnus O. Ulfarsson

  • Parallel consensual neural networks

    J.A. Benediktsson;J.R. Sveinsson;O.K. Ersoy;P.H. Swain

  • Hyperspectral Unmixing Using a Neural Network Autoencoder

    Burkni Palsson;Jakob Sigurdsson;Johannes R. Sveinsson;Magnus O. Ulfarsson

  • Convolutional Autoencoder for Spectral–Spatial Hyperspectral Unmixing

    Burkni Palsson;Magnus O. Ulfarsson;Johannes R. Sveinsson

  • Feature extraction for multisource data classification with artificial neural networks

    J. A. Benediktsson;J. R. Sveinsson

  • Model-Based Fusion of Multi- and Hyperspectral Images Using PCA and Wavelets

    Frosti Palsson;Johannes R. Sveinsson;Magnus Orn Ulfarsson;Jon Atli Benediktsson

  • Hybrid consensus theoretic classification

    J.A. Benediktsson;J.R. Sveinsson;P.H. Swain

  • Classification and feature extraction of AVIRIS data

    J.A. Benediktsson;J.R. Sveinsson;K. Amason

  • Random Forest classification of multisource remote sensing and geographic data

    P.O. Gislason;J.A. Benediktsson;J.R. Sveinsson

  • Mapping of hyperspectral AVIRIS data using machine-learning algorithms

    Björn Waske;Jon Atli Benediktsson;Kolbeinn Árnason;Johannes R Sveinsson

  • Automatic Spectral–Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction

    Pedram Ghamisi;Jón Atli Benediktsson;Johannes R. Sveinsson

  • A classifier ensemble based on fusion of support vector machines for classifying hyperspectral data

    Xavier Ceamanos;Björn Waske;Jón Atli Benediktsson;Jocelyn Chanussot

  • Classification of hyperspectral data from urban areas using morphological preprocessing and independent component analysis

    J.A. Palmason;J.A. Benediktsson;J.R. Sveinsson;J. Chanussot

  • Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles

    M. Fauvel;J. Chanussot;J.A. Benediktsson;J.R. Sveinsson

  • Blind Hyperspectral Unmixing Using Autoencoders: A Critical Comparison

    Unknown

  • Hyperspectral Feature Extraction Using Total Variation Component Analysis

    Behnood Rasti;Magnus Orn Ulfarsson;Johannes R. Sveinsson

Frequent Co-Authors

Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Rasmus Larsen
Rasmus Larsen Technical University of Denmark
Jose M. Bioucas-Dias
Jose M. Bioucas-Dias Instituto Superior Técnico
Mauro Dalla Mura
Mauro Dalla Mura Grenoble Alpes University
Jan Larsen
Jan Larsen Technical University of Denmark
Lars Kai Hansen
Lars Kai Hansen Technical University of Denmark
Pedram Ghamisi
Pedram Ghamisi Helmholtz-Zentrum Dresden-Rossendorf

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