Phenological visual rhythms: Compact representations for fine-grained plant species identification

Date
2016Author
Almeida, Jurandy [UNIFESP]
dos Santos, Jefersson A.
Alberton, Bruna
Morellato, Leonor Patricia C.
Torres, Ricardo da S.
Type
ArtigoISSN
0167-8655Is part of
Pattern Recognition LettersDOI
10.1016/j.patrec.2015.11.028Metadata
Show full item recordAbstract
Plant phenology, the study of recurrent life cycles events and its relationship to climate, is a key discipline in climate change research. In this context, digital cameras have been effectively used to monitor leaf flushing and senescence on vegetations across the world. A primary condition for the phenological observation refers to the correct identification of plants by taking into account time series associated with their crowns in the digital images. 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. Here, we focus on applications of our approach for plant species identification. In this scenario, visual rhythms are characterized by image description algorithms. A comparative analysis of different descriptors is conducted and discussed. Experimental results show that our approach presents high accuracy on identifying individual plant species from its specific visual rhythm. Additionally, our representation is compact, making it suitable for long-term data series. (C) 2015 Elsevier B.V. All rights reserved.
Citation
Pattern Recognition Letters. Amsterdam, v. 81, p. 90-100, 2016.Sponsorship
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-Microsoft Research Virtual InstituteConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) PVE
Collections
- ICT - Artigos [439]