Hapke-based computational method to enable unmixing of hyperspectral data of common salts

Environmental scientists are currently assessing the ability of hyper-spectral remote sensing to detect, identify, and analyze natural components, including minerals, rocks, vegetation and soil. This paper discusses the use of a nonlinear reflectance model to distinguish multicomponent particulate m...

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Detalles Bibliográficos
Autores principales: Howari, Fares M., Acbas, Gheorge, Nazzal, Yousef, AlAydaroos, Fatima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6085231/
https://www.ncbi.nlm.nih.gov/pubmed/30094628
http://dx.doi.org/10.1186/s13065-018-0460-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6085231/
https://www.ncbi.nlm.nih.gov/pubmed/30094628
http://dx.doi.org/10.1186/s13065-018-0460-z

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