/SuperPCA

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

Primary LanguageC++

The code is for the work:

[1] Jiang, J. Ma, C. Chen, Z. Wang, Z. Cai, and L. Wang, “SuperPCA: A Superpixelwise Principal Component Analysis Approach for Unsupervised Feature Extraction of Hyperspectral Imagery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 8, pp. 4581-4593, 2018

@ARTICLE{Jiang2018SuperPCA,

author={J. Jiang and J. Ma and C. Chen and Z. Wang and Z. Cai and L. Wang},

journal={IEEE Transactions on Geoscience and Remote Sensing},

title={SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery},

year={2018},

volume={56},

number={8},

pages={4581-4593},

month={Aug},}

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