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Hyperspectral image spectral-spatial classification via weighted Laplacian smoothing constraint-based sparse representation
As a powerful tool in hyperspectral image (HSI) classification, sparse representation has gained much attention in recent years owing to its detailed representation of features. In particular, the results of the joint use of spatial and spectral information has been widely applied to HSI classificat...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277050/ https://www.ncbi.nlm.nih.gov/pubmed/34255786 http://dx.doi.org/10.1371/journal.pone.0254362 |