This repository implementates the Deep Double-Channel Dense Network (DDCD) for hyperspectral image classification based on PyTorch.
The detailed results can be seen in the A Deep Double-Channel Dense Network for Hyperspectral Image Classification.
The training and testing code can be seen in Double-Branch-Dual-Attention-Mechanism-Network.
If our code is helpful to you, please cite
Wang K, Zheng, S, Li, R, Gui L. A Deep Double-Channel Dense Network for Hyperspectral Image Classification[J]. Journal of Geodesy and Geoinformation Science, 2021, 4(4): 46-62.
Li R, Zheng S, Duan C, et al. Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network[J]. Remote Sensing, 2020, 12(3): 582.
numpy >= 1.16.5
PyTorch >= 1.3.1
sklearn >= 0.20.4
You can download the hyperspectral datasets in mat format at: http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes.
