Spectral Unmixing of Hyperspectral Remote Sensing Imagery via Preserving the Intrinsic Structure Invariant

Hyperspectral unmixing, which decomposes mixed pixels into endmembers and corresponding abundance maps of endmembers, has obtained much attention in recent decades. Most spectral unmixing algorithms based on non-negative matrix factorization (NMF) do not explore the intrinsic manifold structure of h...

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Detalles Bibliográficos
Autores principales: Shao, Yang, Lan, Jinhui, Zhang, Yuzhen, Zou, Jinlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211137/
https://www.ncbi.nlm.nih.gov/pubmed/30340435
http://dx.doi.org/10.3390/s18103528

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211137/
https://www.ncbi.nlm.nih.gov/pubmed/30340435
http://dx.doi.org/10.3390/s18103528

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