Parallel sparse unmixing of hyperspectral data

In this paper, a new parallel method for sparse spectral unmixing of remotely sensed hyperspectral data on commodity graphics processing units (GPUs) is presented. A semi-supervised approach is adopted, which relies on the increasing availability of spectral libraries of materials measured on the gr...

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Detalhes bibliográficos
Autor principal: Alves, José M. Rodriguez (author)
Outros Autores: Nascimento, Jose (author), Bioucas-Dias, José M. (author), Plaza, António (author), Silva, Vítor (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2017
Assuntos:
Hyperspectral unmixing
Sparse regression
Graphics processing unit
Parallel methods
Texto completo:http://hdl.handle.net/10400.21/7609
País:Portugal
Oai:oai:repositorio.ipl.pt:10400.21/7609

Texto Completo

http://hdl.handle.net/10400.21/7609

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