/SSGA

The code of paper "Spectral-Spatial Genetic Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification"

Primary LanguageMATLABMIT LicenseMIT

SSGA

The code of paper Spectral-Spatial Genetic Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification

@ARTICLE{9321482,
  author={Zhao, Haishi and Bruzzone, Lorenzo and Guan, Renchu and Zhou, Fengfeng and Yang, Chen},  
  journal={IEEE Transactions on Geoscience and Remote Sensing},   
  title={Spectral-Spatial Genetic Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification},   
  year={2021},  
  volume={59},  
  number={11},  
  pages={9616-9632},  
  doi={10.1109/TGRS.2020.3047223}，
}

Usage

For example, if you want to perform SSGA:

  1. Prepare data and put it under ./data
  2. Modify the parameters in main_ssga_hsi.m as you need
  3. Run main_ssga_hsi.m

References

[1] The code of superpixel segmentation (i.e., the filefolder of ./EntropyRateSuperpixel-master) is cloned from https://github.com/mingyuliutw/EntropyRateSuperpixel

[2] The original GA (i.e., the filefolder of ./gatbx) is based on Shaffield Toolbox. The more information can be found at ./gatbx/readme.txt

License

SSGA is free software made available under the MIT License. For details see the LICENSE.md file.