NDLI: Plant Species Identification with Phenological Visual Rhythms

Content Provider	IEEE Xplore Digital Library
Author	Almeida, J. Dos Santos, J.A. Alberton, B. Morellato, L.P.C. Da S. Torres, R.
Copyright Year	2013
Description	Author affiliation: RECOD Lab., Univ. of Campinas-UNICAMP, Campinas, Brazil (Almeida, J.; Dos Santos, J.A.; Da S Torres, R.) \|\| Dept. of Botany, Sao Paulo State Univ., Rio Claro, Brazil (Alberton, B.; Morellato, L.P.C.)
Abstract	Plant phenology studies recurrent plant life cycles events and is a key component of climate change research. To increase accuracy of observations, new technologies have been applied for phenological observation, and one of the most successful are digital cameras, used as multi-channel imaging sensors to estimate color changes that are related to phenological events. We monitored leaf-changing patterns of a cerrado-savanna vegetation by taken daily digital images. We extract individual plant color information and correlated with leaf phenological changes. To do so, time series associated with plant species were obtained, raising the need of using appropriate tools for mining patterns of interest. In this paper, we present a novel approach for representing phenological patterns of plant species derived from digital images. The proposed method is based on encoding time series as a visual rhythm, which is 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 plant species.
Starting Page	148
Ending Page	154
File Size	935658
Page Count	7
File Format	PDF
ISBN	9780769550831
DOI	10.1109/eScience.2013.43
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Image segmentation Image color analysis Digital images Time series analysis Feature extraction remote phenology time series Digital cameras visual rhythm image analysis digital cameras
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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