This is the code for MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification. An multiple-layer feature-matching generative adversarial networks (MARTA GANs) to learn a representation using only unlabeled data.

Download and unzip dataset from BaiDuYun or Google Drive.

NVIDIA GPU + CUDA CuDNN (CPU mode and CUDA without CuDNN mode are also available but significantly slower)

• tensorflow
• tensorlayer
• sklearn

Training GAN

python train_marta_gan.py

Extract features

python extract_feature.py

Training SVM

python train_svm.py

If you find this code useful for your research, please cite:

@article{lin2017marta,
  title={MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification},
  author={Lin, Daoyu and Fu, Kun and Wang, Yang and Xu, Guangluan and Sun, Xian},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2017},
  publisher={IEEE}
}