Since it is usually difficult and time-consuming to obtain sufficient training samples by
manually labeling, feature extraction, which investigates the characteristics of hyperspectral …

In this article, the authors suggested a rotation-invariant local binary pattern-based weighted
generalized closest neighbor (RILBP-WGCN) method for HSI classification. The proposed …

To solve the classification accuracy instability problem of support vector machines (SVM)
model caused by using original hyper-spectral data or a single spectral feature as modeling …