Visual rhythm-based time series analysis for phenology studies

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorAlmeida, Jurandy-
Autor(es): dc.creatorDos Santos, Jefersson A.-
Autor(es): dc.creatorAlberton, Bruna C.-
Autor(es): dc.creatorMorellato, Leonor Patrícia Cerdeira-
Autor(es): dc.creatorDa S. Torres, Ricardo-
Data de aceite: dc.date.accessioned2025-08-21T19:28:42Z-
Data de disponibilização: dc.date.available2025-08-21T19:28:42Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2013-12-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/ICIP.2013.6738909-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/227662-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/227662-
Descrição: dc.descriptionPlant phenology has gained importance in the context of global change research, stimulating the development of new technologies for phenological observation. In this context, digital cameras have been successfully used as multi-channel imaging sensors, providing measures to estimate changes on phenological events, such as leaf flushing and senescence. We monitored leaf-changing patterns of a cerrado-savanna vegetation by taken daily digital images. For that, we extract leaf color information and correlated with phenological changes. In this way, time series associated with plant species are obtained, raising the need of using appropriate tools for mining patterns of interest. In this paper, we present a novel approach for representing phenological patterns of plant species. The proposed method is based on encoding time series as a visual rhythm, which is characterized by color description algorithms. A comparative analysis of different descriptors is conducted and discussed. Experimental results show that our approach presents high accuracy on identifying plant species. © 2013 IEEE.-
Descrição: dc.descriptionRECOD Lab Institute of Computing University of Campinas - UNICAMP, 13083-852, Campinas, SP-
Descrição: dc.descriptionPhenology Lab Dept. of Botany Sao Paulo State University - UNESP, 13506-900, Rio-Claro, SP-
Descrição: dc.descriptionPhenology Lab Dept. of Botany Sao Paulo State University - UNESP, 13506-900, Rio-Claro, SP-
Formato: dc.format4412-4416-
Idioma: dc.languageen-
Relação: dc.relation2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings-
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Palavras-chave: dc.subjectdigital cameras-
Palavras-chave: dc.subjectimage analysis-
Palavras-chave: dc.subjectremote phenology-
Palavras-chave: dc.subjecttime series-
Palavras-chave: dc.subjectvisual rhythm-
Título: dc.titleVisual rhythm-based time series analysis for phenology studies-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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