18851197359/superpca

Dimensionality reduction and classification of hyperspectral image based on SuperPCA (IEEE TGRS, 2018)

The code is for the work:

@article{jiang2018superpca,
  title={SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery},
  author={Jiang, Junjun and Ma, Jiayi and Chen, Chen and Wang, Zhongyuan and Cai, Zhihua and Wang, Lizhe},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  volume={56},
  number={8},
  pages={4581--4593},
  year={2018},
  publisher={IEEE}
}

To generate the file of *_randp.mat for other database, you can use the randpTest.m to generate.

If you need another two datasets (PaviaU and Salinas), please feel free to contact me. Or you can download them from http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes

PaviaU: http://www.ehu.eus/ccwintco/uploads/e/ee/PaviaU.mat, http://www.ehu.eus/ccwintco/uploads/5/50/PaviaU_gt.mat

Salinas: http://www.ehu.eus/ccwintco/uploads/a/a3/Salinas_corrected.mat, http://www.ehu.eus/ccwintco/uploads/f/fa/Salinas_gt.mat