CDLNet

The code of CDLNet: Collaborative Dictionary Learning Network for Remote Sensing Image Scene Classification

Here are some tips for running CDLNet:

1. AID, NWPU, and UCM datasets should be placed in the /data directory.
2. We provide the training code for the AID dataset under CDLNet (ResNet-50) in train.py.
3. Before executing, please install the timm library and make adjustments to the resnet file to extract feature maps from the last three residual blocks.
4. If you have other problems about the article or the codes, please contact us by this email: [email protected]. Thanks for your support.

Bibtex

@ARTICLE{10330735,
  author={Zhao, Yibo and Liu, Jianjun and Wu, Zebin},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={CDLNet: Collaborative Dictionary Learning Network for Remote Sensing Image Scene Classification}, 
  year={2023},
  volume={61},
  number={},
  pages={1-16},
  doi={10.1109/TGRS.2023.3336471}}