Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/88833
Type: Artigo de evento
Title: Visual Rhythm-based Time Series Analysis For Phenology Studies
Author: Almeida J.
Dos Santos J.A.
Alberton B.C.
Morellato L.P.C.
Da S. Torres R.
Abstract: Plant 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.
Editor: 
Rights: fechado
Identifier DOI: 10.1109/ICIP.2013.6738909
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84897767503&partnerID=40&md5=4591aa63c9422e0da5da82517fad6c85
Date Issue: 2013
Appears in Collections:Unicamp - Artigos e Outros Documentos

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