Evaluation of time series distance functions in the task of detecting remote phenology patterns
Nenhuma Miniatura disponível
Data
2014-01-01
Autores
Conti, José C.
Farial, Fabio A.
Almeida, Jurandy
Alberton, Bruna [UNESP]
Morellato, Leonor P.C. [UNESP]
Camolesi, Luiz
Da Torres, Ricardo S.
Título da Revista
ISSN da Revista
Título de Volume
Editor
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.
Descrição
Palavras-chave
Como citar
Proceedings - International Conference on Pattern Recognition, p. 3126-3131.