Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-spectral Manifold Learning

Hong Huang, Guangyao Shi, Haibo He +2

The graph embedding (GE) methods have been widely applied for dimensionality reduction of hyperspectral imagery (HSI). However, a major challenge of GE is how to choose proper neig…