Code to replicate the analyses from the paper A semi-supervised generative framework with deep learning features for high-resolution remote sensing image scene classification
Datasets ===================================
The datasets used in the work is UCM, WHU-RS19, NWPU-RESISC45, and AID
1 UCM 2 WHU-RS19 3 NWPU-RESISC45 4 AID
Illustration of code ===================================
selftraining.py is the implenmtation of selftraining method by using one pre-trained CNN model.
co-training.py is the cotraining method, wherein two kind of deep features are utilized.
Comparision.py is the comparison methods.
plot_confusion_matrix.py is to draw the confusion matrix.