Manifold regularization for sparse unmixing of hyperspectral images

BACKGROUND: Recently, sparse unmixing has been successfully applied to spectral mixture analysis of remotely sensed hyperspectral images. Based on the assumption that the observed image signatures can be expressed in the form of linear combinations of a number of pure spectral signatures known in ad...

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Detalles Bibliográficos
Autores principales: Liu, Junmin, Zhang, Chunxia, Zhang, Jiangshe, Li, Huirong, Gao, Yuelin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5121117/
https://www.ncbi.nlm.nih.gov/pubmed/27933263
http://dx.doi.org/10.1186/s40064-016-3671-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5121117/
https://www.ncbi.nlm.nih.gov/pubmed/27933263
http://dx.doi.org/10.1186/s40064-016-3671-6

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