Jón Atli Benediktsson

Jón Atli Benediktsson Jón Atli Benediktsson (born 19 May 1960) is the rector and president of the University of Iceland and professor in electrical and computer engineering at the university. His research fields are remote sensing, image analysis, pattern recognition, machine learning, data fusion, analysis of biomedical signals and signal processing. He has published over 400 scientific articles in these fields and is one of the most influential scientists in the world according to Publons’ lists in 2018 and 2019. Provided by Wikipedia
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  1. 1
    Spatially Enhanced Spectral Unmixing Through Data Fusion of Spectral and Visible Images from Different Sensors
    by Fadi Kizel, Jón Atli Benediktsson
    Published 2020-04-01
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    Article
  2. 2
    An Object-Oriented Color Visualization Method with Controllable Separation for Hyperspectral Imagery
    by Danfeng Liu, Liguo Wang, Jón Atli Benediktsson
    Published 2020-05-01
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    Article
  3. 3
    Automatic Object-Oriented, Spectral-Spatial Feature Extraction Driven by Tobler’s First Law of Geography for Very High Resolution Aerial Imagery Classification
    by Zhiyong Lv, Penglin Zhang, Jón Atli Benediktsson
    Published 2017-03-01
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    Article
  4. 4
    Spatial–Spectral Feature Fusion Coupled with Multi-Scale Segmentation Voting Decision for Detecting Land Cover Change with VHR Remote Sensing Images
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  5. 5
    Novel Multi-Scale Filter Profile-Based Framework for VHR Remote Sensing Image Classification
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    Article
  6. 6
    Novel Object-Based Filter for Improving Land-Cover Classification of Aerial Imagery with Very High Spatial Resolution
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    Article
  7. 7
    A Generalized Image Scene Decomposition-Based System for Supervised Classification of Very High Resolution Remote Sensing Imagery
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  8. 8
    Land Cover Change Detection Based on Adaptive Contextual Information Using Bi-Temporal Remote Sensing Images
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    Article
  9. 9
    Deep TEC: Deep Transfer Learning with Ensemble Classifier for Road Extraction from UAV Imagery
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    Article
  10. 10
    Refining Land Cover Classification Maps Based on Dual-Adaptive Majority Voting Strategy for Very High Resolution Remote Sensing Images
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    Article
  11. 11
    Post-Processing Approach for Refining Raw Land Cover Change Detection of Very High-Resolution Remote Sensing Images
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    Article
  12. 12
    Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification
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    Article
  13. 13
    Novel Land Cover Change Detection Method Based on k-Means Clustering and Adaptive Majority Voting Using Bitemporal Remote Sensing Images
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  14. 14
    Hyperspectral Image Denoising With Group Sparse and Low-Rank Tensor Decomposition
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  15. 15
    Semi-Automatic System for Land Cover Change Detection Using Bi-Temporal Remote Sensing Images
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  16. 16
    Multi-Scale Object Histogram Distance for LCCD Using Bi-Temporal Very-High-Resolution Remote Sensing Images
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    Article
  17. 17
    Spectral-Spatial Hyperspectral Image Classification Using Subspace-Based Support Vector Machines and Adaptive Markov Random Fields
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    Article
  18. 18
    Landslide Inventory Mapping With Bitemporal Aerial Remote Sensing Images Based on the Dual-Path Fully Convolutional Network
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    Article
  19. 19
    Simultaneous and Constrained Calibration of Multiple Hyperspectral Images Through a New Generalized Empirical Line Model
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  20. 20
    Vegetation Cover Estimation Using Convolutional Neural Networks
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    Article
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