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

Author(s)

Almeida, Jurandy ; dos Santos, Jefersson A. ; Alberton, Bruna ; Morellato, Leonor Patricia C. ; Torres, Ricardo da S.

• Document type: Journal article
• Source: PATTERN RECOGNITION LETTERS; v. 81, p. 11-pg., 2016-10-01.

Abstract

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. (AU)

• FAPESP's process: 14/00215-0 - Remote phenology and leaf exchange patterns towards a sazonality gradient
• Grantee: Bruna de Costa Alberton
• Support Opportunities: Scholarships in Brazil - Doctorate
• FAPESP's process: 09/18438-7 - Large-scale classification and retrieval for complex data
• Grantee: Ricardo da Silva Torres
• Support Opportunities: Regular Research Grants
• FAPESP's process: 10/51307-0 - Floristic diversity and seasonal patterns of rupestrian fields and cerrado
• Grantee: Leonor Patricia Cerdeira Morellato
• Support Opportunities: Research Grants - Research Partnership for Technological Innovation - PITE
• FAPESP's process: 07/52015-0 - Approximation methods for visual computing
• Grantee: Jorge Stolfi
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 13/50155-0 - Combining new technologies to monitor phenology from leaves to ecosystems
• Grantee: Leonor Patricia Cerdeira Morellato
• Support Opportunities: Research Program on Global Climate Change - University-Industry Cooperative Research (PITE)
• FAPESP's process: 13/50169-1 - Towards an understanding of tipping points within tropical South American biomes
• Grantee: Ricardo da Silva Torres
• Support Opportunities: Research Grants - Research Partnership for Technological Innovation - PITE
• FAPESP's process: 10/52113-5 - e-phenology: the application of new technologies to monitor plant phenology and track climate changes in the tropics
• Grantee: Leonor Patricia Cerdeira Morellato
• Support Opportunities: Research Program on Global Climate Change - Regular Grants