Group Sparse Representation Based on Nonlocal Spatial and Local Spectral Similarity for Hyperspectral Imagery Classification

Spectral-spatial classification has been widely applied for remote sensing applications, especially for hyperspectral imagery. Traditional methods mainly focus on local spatial similarity and neglect nonlocal spatial similarity. Recently, nonlocal self-similarity (NLSS) has gradually gained support...

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Detalles Bibliográficos
Autores principales: Yu, Haoyang, Gao, Lianru, Liao, Wenzhi, Zhang, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021858/
https://www.ncbi.nlm.nih.gov/pubmed/29795020
http://dx.doi.org/10.3390/s18061695

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021858/
https://www.ncbi.nlm.nih.gov/pubmed/29795020
http://dx.doi.org/10.3390/s18061695

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