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home/Knowledge Base/CODES/Hyperspectral/Semisupervised Cross-Scale Graph Prototypical Network for Hyperspectral Image Classification

Semisupervised Cross-Scale Graph Prototypical Network for Hyperspectral Image Classification

March 31, 2022

Semisupervised Cross-Scale Graph Prototypical Network for Hyperspectral Image Classification
Bobo Xi, Jiaojiao Li, Yunsong Li, Rui Song, Yuchao Xiao , Qian Du and Jocelyn Chanussot

IEEE Transactions on Neural Networks and Learning Systems
DOI: 10.1109/TNNLS.2022.3158280.

code:
https://github.com/B-Xi/TNNLS_2022_X-GPN

 

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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
  • DATA

  SGML: A Symmetric Graph Metric Learning Framework for Efficient Hyperspectral Image Classification

Parsimonious Mahalanobis Kernel for the Classification of High Dimensional Data  

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