This repo holds the codes of our paper:
Adaptive Dropblock Enhanced GenerativeAdversarial Networks for Hyperspectral Image Classification
in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 6, pp. 5040-5053, June 2021, doi: 10.1109/TGRS.2020.3015843.
The demo has not been well organized. Please contact me if you meet any problems.
Please cite our paper if you use our codes. Thanks!
If you have any queries, please do not hesitate to contact me ( gaofeng AT ouc.edu.cn ).
More codes can be obtained from http://feng-gao.cn
Requirements: Python >= 3.6, PyTorch and torchvision
The PaviaU.mat and PaviaU_gt.mat stands for the Pavia University dataset and it's corresponding labels respectively, and the PCU.mat is the result of the Pavia University dataset after PCA.