Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine

Hyperspectral image (HSI) consists of hundreds of narrow spectral band components with rich spectral and spatial information. Extreme Learning Machine (ELM) has been widely used for HSI analysis. However, the classical ELM is difficult to use for sparse feature leaning due to its randomly generated...

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Detalles Bibliográficos
Autores principales: Fang, Xiaoping, Cai, Yaoming, Cai, Zhihua, Jiang, Xinwei, Chen, Zhikun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085560/
https://www.ncbi.nlm.nih.gov/pubmed/32110909
http://dx.doi.org/10.3390/s20051262

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085560/
https://www.ncbi.nlm.nih.gov/pubmed/32110909
http://dx.doi.org/10.3390/s20051262

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