• Home
  • CODES
    • Classification of Hyperspectral Images
    • Classification of Remote Sensing Data
    • Data fusion: hyperspectral + Lidar
    • Hyperspectral Super Resolution
    • Machine Learning in Remote Sensing
    • Pansharpening
    • Registration
    • Spectral Unmixing
  • DATA
  • About us
  • Home
  • CODES
    • Classification of Hyperspectral Images
    • Classification of Remote Sensing Data
    • Data fusion: hyperspectral + Lidar
    • Hyperspectral Super Resolution
    • Machine Learning in Remote Sensing
    • Pansharpening
    • Registration
    • Spectral Unmixing
  • DATA
  • About us
home/Knowledge Base/CODES/Hyperspectral/SGML: A Symmetric Graph Metric Learning Framework for Efficient Hyperspectral Image Classification

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

December 27, 2021

SGML: A Symmetric Graph Metric Learning Framework for Efficient Hyperspectral Image Classification
Y. Li, B. Xi, J. Li, R. Song, Y. Xiao and J. Chanussot

in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DOI : 10.1109/JSTARS.2021.3135548

Attached Files
#
File Type
File Size
Download
1 .pdf 8.06 MB SGML_A_Symmetric_Graph_Metric_Learning_Framework_for_Efficient_Hyperspectral_Image_Classification
2 .zip 11.99 MB JSTARS_2021_SGML-main
Related Articles
  • An Offset Graph U-Net for Hyperspectral Image Classification
  • Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing
  • UCSL: Towards Unsupervised Common Subspace Learning for Cross-Modal Image Classification
  • A Disjoint Samples-Based 3D-CNN With Active Transfer Learning for Hyperspectral Image Classification
  • DGSSC: A Deep Generative Spectral-Spatial Classifier for Imbalanced Hyperspectral Imagery
  • Multigraph-Based Low-Rank Tensor Approximation for Hyperspectral Image Restoration

Didn't find your answer? Contact Us

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

  Spectral–Spatial Classification for Hyperspectral Data Using Rotation Forests With Local Feature Extraction and Markov Random Fields

Semisupervised Cross-Scale Graph Prototypical Network for Hyperspectral Image Classification  

Contact

Mail : Jocelyn Chanussot

Links

http://www.jocelyn-chanussot.net

 

  • © 2016 wpsmartapps.com. All Rights Reserved. Privacy Policy | Terms of Use