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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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| Publié dans: | Sensors (Basel) |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6960840/ https://ncbi.nlm.nih.gov/pubmed/31888269 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19245559 |
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