Spatial-Spectral Dimensionality Reduction with Partial Knowledge of Class Labels

Semi-supervised graph-based dimensionality reduction for hyperspectral image data

Performs spatial-spectral dimensionality reduction of hyperspectral imagery with partial knowledge of class labels, followed by SVM-based classification, as described in the paper:
N. D. Cahill, S. E. Chew, and P. S. Wenger, "Spatial-Spectral Dimensionality Reduction of Hyperspectral Imagery with Partial Knowledge of Class Labels," Proc. SPIE Defense & Security: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, April 2015.

This code requires the Spectral-Spatial Schroedinger Eigenmaps library, available at the MATLAB File Exchange, File No. 45908.