Improved Classification Method Based on the Diverse Density and Sparse Representation Model for a Hyperspectral Image

To solve the small sample size (SSS) problem in the classification of hyperspectral image, a novel classification method based on diverse density and sparse representation (NCM_DDSR) is proposed. In the proposed method, the dictionary atoms, which learned from the diverse density model, are used to...

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Detalles Bibliográficos
Autores principales: Li, Na, Wang, Ruihao, Zhao, Huijie, Wang, Mingcong, Deng, Kewang, Wei, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960840/
https://www.ncbi.nlm.nih.gov/pubmed/31888269
http://dx.doi.org/10.3390/s19245559

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960840/
https://www.ncbi.nlm.nih.gov/pubmed/31888269
http://dx.doi.org/10.3390/s19245559

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