BUPTLdy / Marta Gan
Licence: mit
MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
Stars: ✭ 75
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python
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MARTA-GAN
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.
Prepare data
Download and unzip dataset from BaiDuYun or Google Drive.
Dependencies
NVIDIA GPU + CUDA CuDNN (CPU mode and CUDA without CuDNN mode are also available but significantly slower)
- 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}
}
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