SHAPE-BASED TIME SERIES ANALYSIS FOR REMOTE PHENOLOGY STUDIES
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , , , , |
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. |
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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 |
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1808128852993507328 |