Phenological event detection by visual rhythm dissimilarity analysis
Autor(a) principal: | |
---|---|
Data de Publicação: | 2014 |
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/eScience.2014.23 http://hdl.handle.net/11449/196293 |
Resumo: | Plant phenology has been exploited as an important research venue for assessing the impact of climate changes. One common approach for monitoring vegetation relies on the use of digital cameras. The employment of imaging techniques for phenological observation allows the extraction and analysis of visual characteristics based on color and texture information with the objective of determining plant life cycle changes, such as the beginning of the leaf flushing or the senescence period. This paper presents a novel approach for detecting phenological changes by analyzing image temporal series. Our method is based on the use of visual rhythm analysis and the adoption of a dissimilarity measure to detect visual changes in the time line. Experiments were conducted on a three-year data set composed of 3,538 vegetation images and 21 samples of 6 different species of interest. Results demonstrate that the proposed change detection approach is able to effectively identify phenological events. |
id |
UNSP_3046ce5718d7d0b920b18f7e4b83bdde |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/196293 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Phenological event detection by visual rhythm dissimilarity analysisPlant phenology has been exploited as an important research venue for assessing the impact of climate changes. One common approach for monitoring vegetation relies on the use of digital cameras. The employment of imaging techniques for phenological observation allows the extraction and analysis of visual characteristics based on color and texture information with the objective of determining plant life cycle changes, such as the beginning of the leaf flushing or the senescence period. This paper presents a novel approach for detecting phenological changes by analyzing image temporal series. Our method is based on the use of visual rhythm analysis and the adoption of a dissimilarity measure to detect visual changes in the time line. Experiments were conducted on a three-year data set composed of 3,538 vegetation images and 21 samples of 6 different species of interest. Results demonstrate that the proposed change detection approach is able to effectively identify phenological events.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)Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)Univ Fed Minas Gerais UFMG, Dept Comp Sci, BR-31270010 Belo Horizonte, MG, BrazilFed Univ Sao Paulo UNIFESP, Inst Sci & Technol, BR-12231280 Sao Jose Dos Campos, SP, BrazilPontificia Univ Catolica Minas Gerais PUC Minas, BR-31980110 Belo Horizonte, MG, BrazilSao Paulo State Univ UNESP, Dept Bot, BR-13506900 Rio Claro, SP, BrazilUniv Campinas UNICAMP, Inst Comp, BR-13083852 Campinas, SP, BrazilSao Paulo State Univ UNESP, Dept Bot, BR-13506900 Rio Claro, SP, BrazilFAPESP: 2010/52113-5FAPESP: 2013/50155-0CNPq: 306243/2010-5CNPq: 306587/2009-2FAPESP: 2007/52015-0FAPESP: 2007/59779-6FAPESP: 2009/18438-7FAPESP: 2010/51307-0IeeeUniversidade Federal de Minas Gerais (UFMG)Universidade de São Paulo (USP)Pontificia Univ Catolica Minas Gerais PUC MinasUniversidade Estadual Paulista (Unesp)Universidade Estadual de Campinas (UNICAMP)Santos, Lilian C. B. dosAlmeida, JurandySantos, Jefersson A. dosGuimaraes, Silvio Jamil F.Araujo, Arnaldo De A.Alberton, Bruna [UNESP]Morellato, Leonor Patricia C. [UNESP]Torres, Ricardo da S.IEEE2020-12-10T19:40:00Z2020-12-10T19:40:00Z2014-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject263-270http://dx.doi.org/10.1109/eScience.2014.232014 Ieee 10th International Conference On E-science (e-science), Vol 1. New York: Ieee, p. 263-270, 2014.2325-372Xhttp://hdl.handle.net/11449/19629310.1109/eScience.2014.23WOS:000494273500031Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2014 Ieee 10th International Conference On E-science (e-science), Vol 1info:eu-repo/semantics/openAccess2021-10-23T06:52:23Zoai:repositorio.unesp.br:11449/196293Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T06:52:23Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Phenological event detection by visual rhythm dissimilarity analysis |
title |
Phenological event detection by visual rhythm dissimilarity analysis |
spellingShingle |
Phenological event detection by visual rhythm dissimilarity analysis Santos, Lilian C. B. dos |
title_short |
Phenological event detection by visual rhythm dissimilarity analysis |
title_full |
Phenological event detection by visual rhythm dissimilarity analysis |
title_fullStr |
Phenological event detection by visual rhythm dissimilarity analysis |
title_full_unstemmed |
Phenological event detection by visual rhythm dissimilarity analysis |
title_sort |
Phenological event detection by visual rhythm dissimilarity analysis |
author |
Santos, Lilian C. B. dos |
author_facet |
Santos, Lilian C. B. dos Almeida, Jurandy Santos, Jefersson A. dos Guimaraes, Silvio Jamil F. Araujo, Arnaldo De A. Alberton, Bruna [UNESP] Morellato, Leonor Patricia C. [UNESP] Torres, Ricardo da S. IEEE |
author_role |
author |
author2 |
Almeida, Jurandy Santos, Jefersson A. dos Guimaraes, Silvio Jamil F. Araujo, Arnaldo De A. Alberton, Bruna [UNESP] Morellato, Leonor Patricia C. [UNESP] Torres, Ricardo da S. IEEE |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de Minas Gerais (UFMG) Universidade de São Paulo (USP) Pontificia Univ Catolica Minas Gerais PUC Minas Universidade Estadual Paulista (Unesp) Universidade Estadual de Campinas (UNICAMP) |
dc.contributor.author.fl_str_mv |
Santos, Lilian C. B. dos Almeida, Jurandy Santos, Jefersson A. dos Guimaraes, Silvio Jamil F. Araujo, Arnaldo De A. Alberton, Bruna [UNESP] Morellato, Leonor Patricia C. [UNESP] Torres, Ricardo da S. IEEE |
description |
Plant phenology has been exploited as an important research venue for assessing the impact of climate changes. One common approach for monitoring vegetation relies on the use of digital cameras. The employment of imaging techniques for phenological observation allows the extraction and analysis of visual characteristics based on color and texture information with the objective of determining plant life cycle changes, such as the beginning of the leaf flushing or the senescence period. This paper presents a novel approach for detecting phenological changes by analyzing image temporal series. Our method is based on the use of visual rhythm analysis and the adoption of a dissimilarity measure to detect visual changes in the time line. Experiments were conducted on a three-year data set composed of 3,538 vegetation images and 21 samples of 6 different species of interest. Results demonstrate that the proposed change detection approach is able to effectively identify phenological events. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-01-01 2020-12-10T19:40:00Z 2020-12-10T19:40:00Z |
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/eScience.2014.23 2014 Ieee 10th International Conference On E-science (e-science), Vol 1. New York: Ieee, p. 263-270, 2014. 2325-372X http://hdl.handle.net/11449/196293 10.1109/eScience.2014.23 WOS:000494273500031 |
url |
http://dx.doi.org/10.1109/eScience.2014.23 http://hdl.handle.net/11449/196293 |
identifier_str_mv |
2014 Ieee 10th International Conference On E-science (e-science), Vol 1. New York: Ieee, p. 263-270, 2014. 2325-372X 10.1109/eScience.2014.23 WOS:000494273500031 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2014 Ieee 10th International Conference On E-science (e-science), Vol 1 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
263-270 |
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_ |
1799965187360423936 |