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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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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7085560/ https://ncbi.nlm.nih.gov/pubmed/32110909 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20051262 |
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