• 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/Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders

Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders

November 9, 2019

Unsupervised Feature-Learning for Hyperspectral Data with Auto-encoders
Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy and Anna Chlingaryan

Remote Sensing
doi: 10.3390/rs11070864
Year: 2019 , Volume: 11 , Issue: 7
Page: 864

documentation page

the source code on github repo

Tags:autoencodersdeep learninghyperspectralunsupervised feature-learning
Attached Files
#
File Type
File Size
Download
1 .pdf 4.44 MB remotesensing-11-00864
Related Articles
  • Learning Locality-Constrained Sparse Coding for Spectral Enhancement of Multispectral Imagery
  • More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification
  • Deep Encoder–Decoder Networks for Classification of Hyperspectral and LiDAR Data
  • Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution
  • Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank Learning
  • Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)
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
Contact

Mail : Jocelyn Chanussot

Like Us On Facebook
Facebook Pagelike Widget
Follow Us On Twitter
Follow @RemoteOpen
Links

http://www.jocelyn-chanussot.net