Journal
PATTERN RECOGNITION LETTERS
Volume 81, Issue -, Pages 90-100Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.patrec.2015.11.028
Keywords
Remote phenology; Plant identification; Image analysis; Time series; Visual rhythm
Categories
Funding
- Sao Paulo Research Foundation FAPESP-Microsoft Research Virtual Institute [2010/52113-5, 2013/50169-1, 2013/50155-0]
- CNPq [449638/2014-6, 310761/2014-0, 306587/2009-2]
- FAPESP [2007/52015-0, 2007/59779-6, 2009/18438-7, 2010/51307-0, 2014/00215-0]
- FAPEMIG [APQ-00768-14]
- CNPq PVE [400717/2013-1]
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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.
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