Hyperspectral dimension reduction using global and local information based linear discriminant analysis

5 citations as recorded by crossref.

1. Hyperspectral Remote Sensing Images Deep Feature Extraction Based on Mixed Feature and Convolutional Neural Networks J. Liu et al.
2. Joint $$\alpha {-}\beta $$-divergences reconstruction and non-convex sparse regularization for image clustering X. Li & J. Liu
3. Semi-supervised dimension reduction approaches integrating global and local pattern information U. Sakarya
4. Dimensionality reduction method for hyperspectral image analysis based on rough set theory Z. Wang et al.
5. Spectral-Spatial Features Extraction of Hyperspectral Remote Sensing Oil Spill Imagery Based on Convolutional Neural Networks T. Hu et al.