SHAPE-BASED TIME SERIES ANALYSIS FOR REMOTE PHENOLOGY STUDIES

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dc.contributor.authorTorres, Ricardo da S.
dc.contributor.authorHasegawa, Makoto
dc.contributor.authorTabbone, Salvatore
dc.contributor.authorAlmeida, Jurandy
dc.contributor.authorSantos, Jefersson A. dos
dc.contributor.authorAlberton, Bruna [UNESP]
dc.contributor.authorMorellato, Leonor Patricia C. [UNESP]
dc.contributor.authorIEEE
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniv Lorraine
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2020-12-10T19:32:13Z
dc.date.available2020-12-10T19:32:13Z
dc.date.issued2013-01-01
dc.description.abstractRemote 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.en
dc.description.affiliationUniv Estadual Campinas, RECOD Lab, Inst Comp, Campinas, SP, Brazil
dc.description.affiliationUniv Lorraine, LORIA, UMR 7503, Vandoeuvre Les Nancy, France
dc.description.affiliationSao Paulo State Univ, Dep Botany, Phenol Lab, UNESP, Rio Claro, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Dep Botany, Phenol Lab, UNESP, Rio Claro, SP, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdFAPESP: 2012/16253-2
dc.description.sponsorshipIdFAPESP: 2010/52113-5
dc.description.sponsorshipIdFAPESP: 2012/18768-0
dc.description.sponsorshipIdFAPESP: 2011/11171-5
dc.description.sponsorshipIdFAPESP: 2008/58528-2
dc.description.sponsorshipIdCNPq: 484254/2012-0
dc.description.sponsorshipIdCNPq: 306580/2012-8
dc.format.extent3598-3601
dc.identifierhttp://dx.doi.org/10.1109/IGARSS.2013.6723608
dc.identifier.citation2013 Ieee International Geoscience And Remote Sensing Symposium (igarss). New York: Ieee, p. 3598-3601, 2013.
dc.identifier.doi10.1109/IGARSS.2013.6723608
dc.identifier.issn2153-6996
dc.identifier.urihttp://hdl.handle.net/11449/196068
dc.identifier.wosWOS:000345638903168
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartof2013 Ieee International Geoscience And Remote Sensing Symposium (igarss)
dc.sourceWeb of Science
dc.subjecttime series
dc.subjectshape descriptors
dc.subjectphenology
dc.titleSHAPE-BASED TIME SERIES ANALYSIS FOR REMOTE PHENOLOGY STUDIESen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee
unesp.author.orcid0000-0002-4998-6996[4]
unesp.author.orcid0000-0003-4835-8389[6]

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