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README.md

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 # MARTA-GAN
+This is the code for [MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification](http://ieeexplore.ieee.org/document/8059820/). An multiple-layer feature-matching generative adversarial networks (MARTA GANs) to learn a representation using only unlabeled data.  
+
+
+
+## Prepare data
+
+Download and unzip dataset from [BaiDuYun](https://pan.baidu.com/s/1i5zQNdj) or [Google Drive](https://drive.google.com/open?id=0B1Evui8Soh85ZXM3cDNvbGdOamc).
+
+## Dependencies
+- tensorflow
+- tensorlayer
+- sklearn
+
+## Usage
+
+### Training GAN
+```
+python train_marta_gan.py
+```
+
+### Extract features
+```
+python extract_feature.py
+```
+
+### Training SVM
+
+```
+python train_svm.py
+```
+
+## Citation
+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}
+}
+```