Hyperspectral image spectral-spatial classification via weighted Laplacian smoothing constraint-based sparse representation

As a powerful tool in hyperspectral image (HSI) classification, sparse representation has gained much attention in recent years owing to its detailed representation of features. In particular, the results of the joint use of spatial and spectral information has been widely applied to HSI classificat...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Eryang, Chang, Ruichun, Guo, Ke, Miao, Fang, Shi, Kaibo, Ye, Ansheng, Yuan, Jianghong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277050/
https://www.ncbi.nlm.nih.gov/pubmed/34255786
http://dx.doi.org/10.1371/journal.pone.0254362

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277050/
https://www.ncbi.nlm.nih.gov/pubmed/34255786
http://dx.doi.org/10.1371/journal.pone.0254362

Ejemplares similares