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home/Knowledge Base/CODES/Super Resolution/Unsupervised and Unregistered Hyperspectral Image Super-Resolution With Mutual Dirichlet-Net

Unsupervised and Unregistered Hyperspectral Image Super-Resolution With Mutual Dirichlet-Net

October 6, 2021

Unsupervised and Unregistered Hyperspectral Image Super-Resolution With Mutual Dirichlet-Net
Y. Qu, H. Qi, C. Kwan, N. Yokoya and J. Chanussot

IEEE Transactions on Geoscience and Remote Sensing
doi: 10.1109/TGRS.2021.3079518

code : https://github.com/yingutk/u2MDN
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1 .pdf 17.96 MB 2021_TGRS_HS_Super-Resolution_Dirichlet
2 .zip 74.09 MB u2MDN
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Categories
  • CODES
    • Anomaly
    • Change Detection
    • Classification of Hyperspectral Images
    • Classification of Remote Sensing Data
    • Data fusion: hyperspectral + Lidar
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    • Deep Learning
    • Denoising
    • Feature Extraction
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    • Hyperspectral Super Resolution
    • Infrared
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    • Multi-modal
    • Object Detection
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    • Synthetic Aperture Radar and Radar Sounder
    • Target Detection
    • Tensor
  • DATA

  Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders

Tensor Low-Rank Constraint and l0 Total Variation for Hyperspectral Image Mixed Noise Removal  

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