SHAPE-BASED TIME SERIES ANALYSIS FOR REMOTE PHENOLOGY STUDIES

Detalhes bibliográficos
Autor(a) principal: Torres, Ricardo da S.
Data de Publicação: 2013
Outros Autores: Hasegawa, Makoto, Tabbone, Salvatore, Almeida, Jurandy, Santos, Jefersson A. dos, Alberton, Bruna [UNESP], Morellato, Leonor Patricia C. [UNESP], IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/IGARSS.2013.6723608
http://hdl.handle.net/11449/196068
Resumo: Remote phenology has motivated the development of new technologies for pattern observation. In this scenario, digital cameras have been used as data source for studies that estimate changes on phenological events. In this paper, we investigate the use of shape descriptors in the task of characterizing time series associated with phenological changes. The main objectives are: i) to determine which color channel is better for extracting shape descriptors and ii) to analyze the impact of the sunshine on the performance of shape descriptors.
id UNSP_e10443021c40f6c23760f9b3ca40db0d
oai_identifier_str oai:repositorio.unesp.br:11449/196068
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling SHAPE-BASED TIME SERIES ANALYSIS FOR REMOTE PHENOLOGY STUDIEStime seriesshape descriptorsphenologyRemote phenology has motivated the development of new technologies for pattern observation. In this scenario, digital cameras have been used as data source for studies that estimate changes on phenological events. In this paper, we investigate the use of shape descriptors in the task of characterizing time series associated with phenological changes. The main objectives are: i) to determine which color channel is better for extracting shape descriptors and ii) to analyze the impact of the sunshine on the performance of shape descriptors.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Univ Estadual Campinas, RECOD Lab, Inst Comp, Campinas, SP, BrazilUniv Lorraine, LORIA, UMR 7503, Vandoeuvre Les Nancy, FranceSao Paulo State Univ, Dep Botany, Phenol Lab, UNESP, Rio Claro, SP, BrazilSao Paulo State Univ, Dep Botany, Phenol Lab, UNESP, Rio Claro, SP, BrazilFAPESP: 2012/16253-2FAPESP: 2010/52113-5FAPESP: 2012/18768-0FAPESP: 2011/11171-5FAPESP: 2008/58528-2CNPq: 484254/2012-0CNPq: 306580/2012-8IeeeUniversidade Estadual de Campinas (UNICAMP)Univ LorraineUniversidade Estadual Paulista (Unesp)Torres, Ricardo da S.Hasegawa, MakotoTabbone, SalvatoreAlmeida, JurandySantos, Jefersson A. dosAlberton, Bruna [UNESP]Morellato, Leonor Patricia C. [UNESP]IEEE2020-12-10T19:32:13Z2020-12-10T19:32:13Z2013-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject3598-3601http://dx.doi.org/10.1109/IGARSS.2013.67236082013 Ieee International Geoscience And Remote Sensing Symposium (igarss). New York: Ieee, p. 3598-3601, 2013.2153-6996http://hdl.handle.net/11449/19606810.1109/IGARSS.2013.6723608WOS:000345638903168Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2013 Ieee International Geoscience And Remote Sensing Symposium (igarss)info:eu-repo/semantics/openAccess2021-10-23T03:12:22Zoai:repositorio.unesp.br:11449/196068Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:44:59.090804Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv SHAPE-BASED TIME SERIES ANALYSIS FOR REMOTE PHENOLOGY STUDIES
title SHAPE-BASED TIME SERIES ANALYSIS FOR REMOTE PHENOLOGY STUDIES
spellingShingle SHAPE-BASED TIME SERIES ANALYSIS FOR REMOTE PHENOLOGY STUDIES
Torres, Ricardo da S.
time series
shape descriptors
phenology
title_short SHAPE-BASED TIME SERIES ANALYSIS FOR REMOTE PHENOLOGY STUDIES
title_full SHAPE-BASED TIME SERIES ANALYSIS FOR REMOTE PHENOLOGY STUDIES
title_fullStr SHAPE-BASED TIME SERIES ANALYSIS FOR REMOTE PHENOLOGY STUDIES
title_full_unstemmed SHAPE-BASED TIME SERIES ANALYSIS FOR REMOTE PHENOLOGY STUDIES
title_sort SHAPE-BASED TIME SERIES ANALYSIS FOR REMOTE PHENOLOGY STUDIES
author Torres, Ricardo da S.
author_facet Torres, Ricardo da S.
Hasegawa, Makoto
Tabbone, Salvatore
Almeida, Jurandy
Santos, Jefersson A. dos
Alberton, Bruna [UNESP]
Morellato, Leonor Patricia C. [UNESP]
IEEE
author_role author
author2 Hasegawa, Makoto
Tabbone, Salvatore
Almeida, Jurandy
Santos, Jefersson A. dos
Alberton, Bruna [UNESP]
Morellato, Leonor Patricia C. [UNESP]
IEEE
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual de Campinas (UNICAMP)
Univ Lorraine
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Torres, Ricardo da S.
Hasegawa, Makoto
Tabbone, Salvatore
Almeida, Jurandy
Santos, Jefersson A. dos
Alberton, Bruna [UNESP]
Morellato, Leonor Patricia C. [UNESP]
IEEE
dc.subject.por.fl_str_mv time series
shape descriptors
phenology
topic time series
shape descriptors
phenology
description Remote phenology has motivated the development of new technologies for pattern observation. In this scenario, digital cameras have been used as data source for studies that estimate changes on phenological events. In this paper, we investigate the use of shape descriptors in the task of characterizing time series associated with phenological changes. The main objectives are: i) to determine which color channel is better for extracting shape descriptors and ii) to analyze the impact of the sunshine on the performance of shape descriptors.
publishDate 2013
dc.date.none.fl_str_mv 2013-01-01
2020-12-10T19:32:13Z
2020-12-10T19:32:13Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/IGARSS.2013.6723608
2013 Ieee International Geoscience And Remote Sensing Symposium (igarss). New York: Ieee, p. 3598-3601, 2013.
2153-6996
http://hdl.handle.net/11449/196068
10.1109/IGARSS.2013.6723608
WOS:000345638903168
url http://dx.doi.org/10.1109/IGARSS.2013.6723608
http://hdl.handle.net/11449/196068
identifier_str_mv 2013 Ieee International Geoscience And Remote Sensing Symposium (igarss). New York: Ieee, p. 3598-3601, 2013.
2153-6996
10.1109/IGARSS.2013.6723608
WOS:000345638903168
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2013 Ieee International Geoscience And Remote Sensing Symposium (igarss)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 3598-3601
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128852993507328

Registros relacionados