/OTCMA-Net

The implementation for "Cluster-memory Augmented Deep Autoencoder via Optimal Transportation for Hyperspectral Anomaly Detection"

Primary LanguagePythonMIT LicenseMIT

OTCMA-Net

The implementation for "Cluster-memory Augmented Deep Autoencoder via Optimal Transportation for Hyperspectral Anomaly Detection"

https://ieeexplore.ieee.org/document/9789180

If you find this work useful in your research, please consider citing:

  @ARTICLE{9789180,
author={Huyan, Ning and Zhang, Xiangrong and Quan, Dou and Chanussot, Jocelyn and Jiao, Licheng},
journal={IEEE Transactions on Geoscience and Remote Sensing}, 
title={Cluster-Memory Augmented Deep Autoencoder via Optimal Transportation for Hyperspectral Anomaly Detection}, 
year={2022},
volume={60},
number={},
pages={1-16},
doi={10.1109/TGRS.2022.3180548}}