• 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/Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)

Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)

May 28, 2020

Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)

Behnood Rasti, Danfeng Hong, Renlong Hang, Pedram Ghamisi, Xudong Kang, Jocelyn Chanussot, And Jon Atli Benediktsson

IEEE Geoscience and Remote Sensing Magazine
DOI: 10.1109/MGRS.2020.2979764
Publication Year: 2020

 

Tags:feature extractionhyperspectral
Attached Files
#
File Type
File Size
Download
1 .pdf 5.97 MB 2020_IEEE_GRSM_feature_extraction
2 .rar 77.66 MB HyFTech-Hyperspectral-Shallow-Deep-Feature-Extraction-Toolbox-master
Related Articles
  • Multimodal Hyperspectral Unmixing: Insights From Attention Networks
  • Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction
  • Semisupervised Cross-Scale Graph Prototypical Network for Hyperspectral Image Classification
  • Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects
  • Multimodal Hyperspectral Unmixing: Insights from Attention Networks
  • MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing
Categories
  • CODES
    • 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
    • Machine Learning in Remote Sensing
    • Multi-modal
    • Object Detection
    • Pansharpening
    • Registration
    • Sequences
    • Spectral Unmixing
    • Super Resolution
    • Synthetic Aperture Radar and Radar Sounder
    • Tensor
  • DATA
Contact

Mail : Jocelyn Chanussot

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

http://www.jocelyn-chanussot.net