Linear vs. Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Images

As a new machine learning approach, the extreme learning machine (ELM) has received much attention due to its good performance. However, when directly applied to hyperspectral image (HSI) classification, the recognition rate is low. This is because ELM does not use spatial information, which is very...

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Detalles Bibliográficos
Autores principales: Cao, Faxian, Yang, Zhijing, Ren, Jinchang, Jiang, Mengying, Ling, Wing-Kuen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713108/
https://www.ncbi.nlm.nih.gov/pubmed/29137159
http://dx.doi.org/10.3390/s17112603

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713108/
https://www.ncbi.nlm.nih.gov/pubmed/29137159
http://dx.doi.org/10.3390/s17112603

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