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home/Knowledge Base/CODES/Graphs, Manifold/Graph Convolutional Networks for Hyperspectral Image Classification

Graph Convolutional Networks for Hyperspectral Image Classification

September 22, 2020

Graph Convolutional Networks for Hyperspectral Image Classification
Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza and Jocelyn Chanussot

IEEE Transactions on Geoscience and Remote Sensing
year : 2020
DOI: 10.1109/TGRS.2020.3015157

Code: https://github.com/danfenghong/IEEE_TGRS_GCN

Tags:classificationconvolutional neural networksdeep learningfusiongraph convolutional networkshyperspectral
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Categories
  • CODES
    • Change Detection
    • Classification of Hyperspectral Images
    • Classification of Remote Sensing Data
    • Data fusion: hyperspectral + Lidar
    • Data fusion: Hyperspectral + Multispectral
    • Deep Learning
    • Denoising
    • Graphs, Manifold
    • Hyperspectral
    • Hyperspectral remote sensing
    • Hyperspectral Super Resolution
    • Machine Learning in Remote Sensing
    • Multi-modal
    • Pansharpening
    • Registration
    • Spectral Unmixing
    • Super Resolution
    • Synthetic Aperture Radar and Radar Sounder
  • DATA
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