/Lan-Zhang-SuperKPCA

Hyperspectral Dimensionality Reduction Based on Multiscale Superpixelwise Kernel Principal Component Analysis

Primary LanguageMATLAB

Lan-Zhang-SuperKPCA

Source code of the article, Hyperspectral Dimensionality Reduction Based on Multiscale Superpixelwise Kernel Pincipal Component Analysis, published in Remote Sensing in 2019.

The complete article is available at https://www.mdpi.com/2072-4292/11/10/1219/htm.

This work is based on the code at https://github.com/junjun-jiang/SuperPCA.

The other two datasets, PaviaU and Salinas,

can be downloaded at 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