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...

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Detalles Bibliográficos
Autores principales: Liu, Shuai, Jiao, Licheng, Yang, Shuyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087505/
https://www.ncbi.nlm.nih.gov/pubmed/27763511
http://dx.doi.org/10.3390/s16101718

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