Semantic-Guided Kernel Low-Rank Sparse Preserving Projections for Hyperspectral Image Dimensionality Reduction and Classification

Hyperspectral images present significant challenges for conventional dimensionality reduction methods due to their high dimensionality, spectral redundancy, and complex spatial–spatial dependencies. While kernel-based sparse representation methods have shown promise in handling spectral non-linearit...

Descrición completa

Detalles Bibliográficos

Principais autores:	Junjun Li, Jinyan Hu, Lin Huang, Chao Hu, Meinan Zheng
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2026-01-01
Series:	Applied Sciences
Assuntos:	hyperspectral images dimensionality reduction kernel sparse representation semantic guidance manifold regularization
Acceso en liña:	https://www.mdpi.com/2076-3417/16/1/561
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!