NDLI: Continuous wavelet analysis based spectral features selection for winter wheat yellow rust detection

Content Provider	IEEE Xplore Digital Library
Author	Jingcheng Zhang Luo, Juhua Huang, Wenjiang Wang, Jihua
Copyright Year	2012
Description	Author affiliation: National Engineering Research Center For Information Technology In Agriculture, Beijing 100097, China (Jingcheng Zhang; Luo, Juhua; Huang, Wenjiang; Wang, Jihua)
Abstract	Remote-sensing technologies can provide quick responses for determining the presence of yellow rust disease. However, most studies selected spectral indicators solely based on the statistical relevance to disease severity. Few of them investigated the underlying mechanism including the variation of biochemical properties due to the presence of disease. This study aims at identifying some mechanism based spectral features through continuous wavelet (CWT) analysis. An inoculation of yellow rust fungal was conducted in the experimental field. The hyperspectral data and biochemical properties including the content of water and pigment were measured for both infected and non-infected winter wheat plants. A two-tailed paired student t-test was used to identify the biochemical properties which have significant variation when the plants were infected. For those sensitive biochemical properties, a CWT transformation was then processed with the spectral data. The sensitive spectral features were selected through a correlation scalogram. It was found that the content of chlorophyll decreased significantly in yellow rust infected plants. Four spectral features were identified which could well reflect the chlorophyll content. The predicted model of chlorophyll content was thus established based on the partial least squares (PLS) regression. In addition, the linear discrimination analysis (LDA) was adopted in classifying the infected and non-infected plants. The classification accuracy reached 74.8% which indicated the selected spectral features have great potential in detecting the winter wheat yellow rust infection.
Starting Page	195
Ending Page	200
File Size	509372
Page Count	6
File Format	PDF
ISBN	9781467344975
ISSN	21544824
e-ISBN	9781889334479
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-24
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	TSI Press
Subject Keyword	Correlation Continuous wavelet transforms Diseases Wavelet analysis Reflectivity Pigments Linear discrimination analysis Yellow rust Continuous wavelet analysis Partial least squares regression
Content Type	Text
Resource Type	Article

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