Evaluation of time series distance functions in the task of detecting remote phenology patterns

Detalhes bibliográficos
Autor(a) principal: Conti, José C.
Data de Publicação: 2014
Outros Autores: Farial, Fabio A., Almeida, Jurandy, Alberton, Bruna [UNESP], Morellato, Leonor P.C. [UNESP], Camolesi, Luiz, Da Torres, Ricardo S.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ICPR.2014.539
http://hdl.handle.net/11449/177277
Resumo: Phenology is the study of periodic natural phenomena and their relationship to climate. Usually, phenology studies consider the identification of patterns on temporal data. In those studies, several phenological change patterns are often encoded in time series for analysis and knowledge extraction. In this paper, we evaluate the effectiveness of several time series similarity functions in the task of classifying time series related to phonological phenomena characterized by near-surface vegetation indices extracted from images. In addition, we performed a correlation analysis to identify potential candidates for combination.
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spelling Evaluation of time series distance functions in the task of detecting remote phenology patternsPhenology is the study of periodic natural phenomena and their relationship to climate. Usually, phenology studies consider the identification of patterns on temporal data. In those studies, several phenological change patterns are often encoded in time series for analysis and knowledge extraction. In this paper, we evaluate the effectiveness of several time series similarity functions in the task of classifying time series related to phonological phenomena characterized by near-surface vegetation indices extracted from images. In addition, we performed a correlation analysis to identify potential candidates for combination.Faculty of Technology, University of Campinas-UNICAMPRECOD Lab, Institute of Computing, University of Campinas -UNICAMPPhenology Lab, Dept. of Botany, São Paulo State University - UNESPInstitute of Science and Technology, Federal University of Sao Paulo - UNIFESPPhenology Lab, Dept. of Botany, São Paulo State University - UNESPUniversidade Estadual de Campinas (UNICAMP)Universidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Conti, José C.Farial, Fabio A.Almeida, JurandyAlberton, Bruna [UNESP]Morellato, Leonor P.C. [UNESP]Camolesi, LuizDa Torres, Ricardo S.2018-12-11T17:24:46Z2018-12-11T17:24:46Z2014-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject3126-3131http://dx.doi.org/10.1109/ICPR.2014.539Proceedings - International Conference on Pattern Recognition, p. 3126-3131.1051-4651http://hdl.handle.net/11449/17727710.1109/ICPR.2014.5392-s2.0-84919935087Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings - International Conference on Pattern Recognition0,307info:eu-repo/semantics/openAccess2021-10-23T21:44:20Zoai:repositorio.unesp.br:11449/177277Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:15:21.829775Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Evaluation of time series distance functions in the task of detecting remote phenology patterns
title Evaluation of time series distance functions in the task of detecting remote phenology patterns
spellingShingle Evaluation of time series distance functions in the task of detecting remote phenology patterns
Conti, José C.
title_short Evaluation of time series distance functions in the task of detecting remote phenology patterns
title_full Evaluation of time series distance functions in the task of detecting remote phenology patterns
title_fullStr Evaluation of time series distance functions in the task of detecting remote phenology patterns
title_full_unstemmed Evaluation of time series distance functions in the task of detecting remote phenology patterns
title_sort Evaluation of time series distance functions in the task of detecting remote phenology patterns
author Conti, José C.
author_facet Conti, José C.
Farial, Fabio A.
Almeida, Jurandy
Alberton, Bruna [UNESP]
Morellato, Leonor P.C. [UNESP]
Camolesi, Luiz
Da Torres, Ricardo S.
author_role author
author2 Farial, Fabio A.
Almeida, Jurandy
Alberton, Bruna [UNESP]
Morellato, Leonor P.C. [UNESP]
Camolesi, Luiz
Da Torres, Ricardo S.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual de Campinas (UNICAMP)
Universidade Estadual Paulista (Unesp)
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Conti, José C.
Farial, Fabio A.
Almeida, Jurandy
Alberton, Bruna [UNESP]
Morellato, Leonor P.C. [UNESP]
Camolesi, Luiz
Da Torres, Ricardo S.
description Phenology is the study of periodic natural phenomena and their relationship to climate. Usually, phenology studies consider the identification of patterns on temporal data. In those studies, several phenological change patterns are often encoded in time series for analysis and knowledge extraction. In this paper, we evaluate the effectiveness of several time series similarity functions in the task of classifying time series related to phonological phenomena characterized by near-surface vegetation indices extracted from images. In addition, we performed a correlation analysis to identify potential candidates for combination.
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01
2018-12-11T17:24:46Z
2018-12-11T17:24:46Z
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/ICPR.2014.539
Proceedings - International Conference on Pattern Recognition, p. 3126-3131.
1051-4651
http://hdl.handle.net/11449/177277
10.1109/ICPR.2014.539
2-s2.0-84919935087
url http://dx.doi.org/10.1109/ICPR.2014.539
http://hdl.handle.net/11449/177277
identifier_str_mv Proceedings - International Conference on Pattern Recognition, p. 3126-3131.
1051-4651
10.1109/ICPR.2014.539
2-s2.0-84919935087
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings - International Conference on Pattern Recognition
0,307
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 3126-3131
dc.source.none.fl_str_mv Scopus
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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