Paper Info
Title
Phenological Event Detection by Visual Rhythms Dissimilarity Analysis.
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.
Year
DOI
Venue
2014
10.1109/eScience.2014.23
eScience
Keywords
Field
DocType
rhythm,time series analysis,indexes,visualization
Data mining,Time series,Vegetation,Change detection,Climate change,Computer science,Visualization,Time line,Rhythm,Phenology
Conference
Volume
ISSN
Citations 
1
2325-372X
2
PageRank 
References 
Authors
0.38
12
8
Name
Order
Citations
PageRank
Lilian Chaves Brandao dos Santos120.38
Jurandy Almeida243135.15
Jefersson Alex dos Santos335028.43
Guimaraes, S.J.F.4193.21
Arnaldo de Albuquerque Araújo547934.55
Bruna Alberton6627.50
Leonor Patricia C. Morellato7648.54
Ricardo da Silva Torres878761.46