Parallel hyperspectral unmixing on GPUs
Autor(a) principal: | |
---|---|
Data de Publicação: | 2014 |
Outros Autores: | , , , |
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 |