• 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/A Disjoint Samples-Based 3D-CNN With Active Transfer Learning for Hyperspectral Image Classification

A Disjoint Samples-Based 3D-CNN With Active Transfer Learning for Hyperspectral Image Classification

November 2, 2022

A Disjoint Samples-Based 3D-CNN With Active Transfer Learning for Hyperspectral Image Classification
M. Ahmad et al.

IEEE Transactions on Geoscience and Remote Sensing
vol. 60, pp. 1-16, 2022, Art no. 5539616
DOI: 10.1109/TGRS.2022.3209182.

MATLAB demo can be accessed on GitHub: github.com/mahmad00

 

Attached Files
#
File Type
File Size
Download
1 .pdf 4.39 MB A_Disjoint_Samples-Based_3D-CNN_With_Active_Transfer_Learning_for_Hyperspectral_Image_Classification
Related Articles
  • UIU-Net: U-Net in U-Net for Infrared Small Object Detection
  • DGSSC: A Deep Generative Spectral-Spatial Classifier for Imbalanced Hyperspectral Imagery
  • Machine Learning in Pansharpening: A Benchmark, From Shallow to Deep Networks
  • Multigraph-Based Low-Rank Tensor Approximation for Hyperspectral Image Restoration
  • Unsupervised Hyperspectral Denoising Based on Deep Image Prior and Least Favorable Distribution
  • Few-shot Learning with Class-Covariance Metric for Hyperspectral Image Classification

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
  • DATA

  A Triple-Double Convolutional Neural Network for Panchromatic Sharpening

Contact

Mail : Jocelyn Chanussot

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

http://www.jocelyn-chanussot.net