| Full text | |
| Author(s): |
Faria, Fabio A.
;
Almeida, Jurandy
;
Alberton, Bruna
;
Morellato, Leonor Patricia C.
;
Torres, Ricardo da S.
Total Authors: 5
|
| Document type: | Journal article |
| Source: | PATTERN RECOGNITION LETTERS; v. 83, p. 10-pg., 2016-11-01. |
| Abstract | |
Nowadays, global warming and its resulting environmental changes is a hot topic in different biology research area. Phenology is one effective way of tracking such environmental changes through the study of plant's periodic events and their relationship to climate. One promising research direction in this area relies on the use of vegetation images to track phenology changes over time. In this scenario, the creation of effective image-based plant identification systems is of paramount importance. In this paper, we propose the use of a new representation of time series to improve plants recognition rates. This representation, called recurrence plot (RP), is a technique for nonlinear data analysis, which represents repeated events on time series into a two-dimensional representation (an image). Therefore, image descriptors can be used to characterize visual properties from this RP images so that these features can be used as input of a classifier. To the best of our knowledge, this is the first work that uses recurrence plot for plant recognition task. Performed experiments show that RP can be a good solution to describe time series. In addition, in a comparison with visual rhythms (VR), another technique used for time series representation, RP shows a better performance to describe texture properties than VR. On the other hand, a correlation analysis and the adoption of a well successful classifier fusion framework show that both representations provide complementary information that is useful for improving classification accuracies. (C) 2016 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: | 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: | 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 |
| 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: | 09/18438-7 - Large-scale classification and retrieval for complex data |
| Grantee: | Ricardo da Silva Torres |
| Support Opportunities: | Regular Research Grants |