Parallel hyperspectral unmixing on GPUs

Detalhes bibliográficos
Autor(a) principal: Nascimento, Jose
Data de Publicação: 2014
Outros Autores: Bioucas-Dias, José M., Alves, José M. Rodriguez, Silva, Vítor, Plaza, António
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.21/4820
Resumo: This letter presents a new parallel method for hyperspectral unmixing composed by the efficient combination of two popular methods: vertex component analysis (VCA) and sparse unmixing by variable splitting and augmented Lagrangian (SUNSAL). First, VCA extracts the endmember signatures, and then, SUNSAL is used to estimate the abundance fractions. Both techniques are highly parallelizable, which significantly reduces the computing time. A design for the commodity graphics processing units of the two methods is presented and evaluated. Experimental results obtained for simulated and real hyperspectral data sets reveal speedups up to 100 times, which grants real-time response required by many remotely sensed hyperspectral applications.
id RCAP_582505ff46962c9a22b723fd9ad36c8c
oai_identifier_str oai:repositorio.ipl.pt:10400.21/4820
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Parallel hyperspectral unmixing on GPUsGraphics Processing Unit (GPU)Parallel MethodsSparse Unmixing by Variable Splitting and Augmented Lagrangian (SUNSAL)Unsupervised Hyperspectral Unmixing, Vertex Component Analysis (VCA)This letter presents a new parallel method for hyperspectral unmixing composed by the efficient combination of two popular methods: vertex component analysis (VCA) and sparse unmixing by variable splitting and augmented Lagrangian (SUNSAL). First, VCA extracts the endmember signatures, and then, SUNSAL is used to estimate the abundance fractions. Both techniques are highly parallelizable, which significantly reduces the computing time. A design for the commodity graphics processing units of the two methods is presented and evaluated. Experimental results obtained for simulated and real hyperspectral data sets reveal speedups up to 100 times, which grants real-time response required by many remotely sensed hyperspectral applications.IEEE - Institute of Electrical and Electronics Engineers Inc.RCIPLNascimento, JoseBioucas-Dias, José M.Alves, José M. RodriguezSilva, VítorPlaza, António2015-08-18T14:53:40Z2014-032014-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/4820eng1545-598X10.1109/LGRS.2013.2274328metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T09:47:21Zoai:repositorio.ipl.pt:10400.21/4820Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:14:11.789396Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Parallel hyperspectral unmixing on GPUs
title Parallel hyperspectral unmixing on GPUs
spellingShingle Parallel hyperspectral unmixing on GPUs
Nascimento, Jose
Graphics Processing Unit (GPU)
Parallel Methods
Sparse Unmixing by Variable Splitting and Augmented Lagrangian (SUNSAL)
Unsupervised Hyperspectral Unmixing, Vertex Component Analysis (VCA)
title_short Parallel hyperspectral unmixing on GPUs
title_full Parallel hyperspectral unmixing on GPUs
title_fullStr Parallel hyperspectral unmixing on GPUs
title_full_unstemmed Parallel hyperspectral unmixing on GPUs
title_sort Parallel hyperspectral unmixing on GPUs
author Nascimento, Jose
author_facet Nascimento, Jose
Bioucas-Dias, José M.
Alves, José M. Rodriguez
Silva, Vítor
Plaza, António
author_role author
author2 Bioucas-Dias, José M.
Alves, José M. Rodriguez
Silva, Vítor
Plaza, António
author2_role author
author
author
author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Nascimento, Jose
Bioucas-Dias, José M.
Alves, José M. Rodriguez
Silva, Vítor
Plaza, António
dc.subject.por.fl_str_mv Graphics Processing Unit (GPU)
Parallel Methods
Sparse Unmixing by Variable Splitting and Augmented Lagrangian (SUNSAL)
Unsupervised Hyperspectral Unmixing, Vertex Component Analysis (VCA)
topic Graphics Processing Unit (GPU)
Parallel Methods
Sparse Unmixing by Variable Splitting and Augmented Lagrangian (SUNSAL)
Unsupervised Hyperspectral Unmixing, Vertex Component Analysis (VCA)
description This letter presents a new parallel method for hyperspectral unmixing composed by the efficient combination of two popular methods: vertex component analysis (VCA) and sparse unmixing by variable splitting and augmented Lagrangian (SUNSAL). First, VCA extracts the endmember signatures, and then, SUNSAL is used to estimate the abundance fractions. Both techniques are highly parallelizable, which significantly reduces the computing time. A design for the commodity graphics processing units of the two methods is presented and evaluated. Experimental results obtained for simulated and real hyperspectral data sets reveal speedups up to 100 times, which grants real-time response required by many remotely sensed hyperspectral applications.
publishDate 2014
dc.date.none.fl_str_mv 2014-03
2014-03-01T00:00:00Z
2015-08-18T14:53:40Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.21/4820
url http://hdl.handle.net/10400.21/4820
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1545-598X
10.1109/LGRS.2013.2274328
dc.rights.driver.fl_str_mv metadata only access
info:eu-repo/semantics/openAccess
rights_invalid_str_mv metadata only access
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE - Institute of Electrical and Electronics Engineers Inc.
publisher.none.fl_str_mv IEEE - Institute of Electrical and Electronics Engineers Inc.
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799133399648043008