Dimensionality reduction (DR) is important for feature extraction and classification of
hyperspectral images (HSIs). Recently proposed superpixel-based DR models have shown …

Superpixel segmentation has emerged as a prominent approach for simultaneous extraction
of spatial–spectral features in hyperspectral imagery, exhibiting considerable efficacy in this …

Tensor decompositions have been successfully applied to multidimensional data recovery.
However, classical tensor decompositions are not suitable for emerging spatio-irregular …

The empirical mode decomposition (EMD) based morphological profile (MP), called as
EMDMP, is proposed for hyperspectral image classification in this work. The EMD algorithm …

Locality preserving projection (LPP) is a typical feature extraction method based on spectral
information for hyperspectral image (HSI) classification. Recently, to improve the …