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home/Knowledge Base/CODES/Classification of Hyperspectral Images/An Offset Graph U-Net for Hyperspectral Image Classification

An Offset Graph U-Net for Hyperspectral Image Classification

September 9, 2023

An Offset Graph U-Net for Hyperspectral Image Classification
R. Chen, G. Vivone, G. Li, C. Dai, and J. ChanussotIEEE Transactions on Geoscience and Remote Sensing,
vol. 61, pp. 1-15, 2023, Art no. 5520615,
doi: 10.1109/TGRS.2023.3307609

GitHub repo: https://github.com/672422320chen/Offset_graph_UNet

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Categories
  • CODES
    • Anomaly
    • Change Detection
    • Classification of Hyperspectral Images
    • Classification of Remote Sensing Data
    • Data fusion: hyperspectral + Lidar
    • Data fusion: Hyperspectral + Multispectral
    • Deep Learning
    • Denoising
    • Feature Extraction
    • Graphs
    • Graphs, Manifold
    • Hyperspectral
    • Hyperspectral remote sensing
    • Hyperspectral Super Resolution
    • Infrared
    • Machine Learning in Remote Sensing
    • Multi-modal
    • Object Detection
    • Pansharpening
    • Registration
    • Sequences
    • Spectral Unmixing
    • Super Resolution
    • Synthetic Aperture Radar and Radar Sounder
    • Target Detection
    • Tensor
    • Transformer
  • DATA

  Class-Specific Sparse Multiple Kernel Learning for Spectral–Spatial Hyperspectral Image Classification

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