Hyperspectral unmixing with simultaneous dimensionality estimation

This paper is an elaboration of the simplex identification via split augmented Lagrangian (SISAL) algorithm (Bioucas-Dias, 2009) to blindly unmix hyperspectral data. SISAL is a linear hyperspectral unmixing method of the minimum volume class. This method solve a non-convex problem by a sequence of a...

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Detalhes bibliográficos
Autor principal: Nascimento, Jose (author)
Outros Autores: Bioucas-Dias, José M. (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2016
Assuntos:
Blind hyperspectral unmixing
Minimum volume simplex
Minimum Description Length
MDL
Variable splitting augmented Lagrangian
Dimensionality reduction
Texto completo:http://hdl.handle.net/10400.21/6216
País:Portugal
Oai:oai:repositorio.ipl.pt:10400.21/6216

Texto Completo

http://hdl.handle.net/10400.21/6216

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