Phenological event detection by visual rhythm dissimilarity analysis

Author(s)

dos Santos, Lilian C. B. ; Almeida, Jurandy ; dos Santos, Jefersson A. ; Guimaraes, Silvio Jamil F. ; Araujo, Arnaldo De A. ; Alberton, Bruna ; Morellato, Leonor Patricia C. ; Torres, Ricardo da S. ; IEEE

• Document type: Journal article
• Source: 2014 IEEE 10TH INTERNATIONAL CONFERENCE ON E-SCIENCE (E-SCIENCE), VOL 1; v. N/A, p. 8-pg., 2014-01-01.

Abstract

Plant phenology has been exploited as an important research venue for assessing the impact of climate changes. One common approach for monitoring vegetation relies on the use of digital cameras. The employment of imaging techniques for phenological observation allows the extraction and analysis of visual characteristics based on color and texture information with the objective of determining plant life cycle changes, such as the beginning of the leaf flushing or the senescence period. This paper presents a novel approach for detecting phenological changes by analyzing image temporal series. Our method is based on the use of visual rhythm analysis and the adoption of a dissimilarity measure to detect visual changes in the time line. Experiments were conducted on a three-year data set composed of 3,538 vegetation images and 21 samples of 6 different species of interest. Results demonstrate that the proposed change detection approach is able to effectively identify phenological events. (AU)

• 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: 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
• FAPESP's process: 07/52015-0 - Approximation methods for visual computing
• Grantee: Jorge Stolfi
• Support Opportunities: Research Projects - Thematic 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: 09/18438-7 - Large-scale classification and retrieval for complex data
• Grantee: Ricardo da Silva Torres
• Support Opportunities: Regular Research Grants