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

IEEE TGRS
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computer-vision hyperspectral hyperspectral-image-classification machine-learning remote-sensing

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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.