Skip to content

mahmad00/A-Disjoint-Samples-based-3D-CNN-with-Active-Transfer-Learning-for-Hyperspectral-Image-Classification

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

This demo is associated with: A Disjoint Samples based 3D CNN with Active Transfer Learning for Hyperspectral Image Classification Accepted for publication in the future issues of IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS).

%% Required Libraries

% Image Processing for Hyperspectral Imaging

% Machine Learning and Deep Learning

% This demo is executed on Matlab 2021a

% Please cite

M. Ahmad et al., "A Disjoint Samples-based 3D-CNN with Active Transfer Learning for Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, 2022, doi: 10.1109/TGRS.2022.3209182.