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Hierarchical Sparse Learning with Spectral-Spatial Information for Hyperspectral Imagery Denoising
During the acquisition process hyperspectral images (HSI) are inevitably corrupted by various noises, which greatly influence their visual impression and subsequent applications. In this paper, a novel Bayesian approach integrating hierarchical sparse learning and spectral-spatial information is pro...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087505/ https://www.ncbi.nlm.nih.gov/pubmed/27763511 http://dx.doi.org/10.3390/s16101718 |