棉花单叶黄萎病病情严重度高光谱反演模型研究

doi:10.3964/j.issn.1000-0593(2009)12-3348-05

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Abstract The correlation of cotton leaf verticillium wilt severity level with raw hyperspectral reflectance, first derivative hyperspectral reflectance, and hyperspectral characteristic parameters was analyzed. Using linear and nonlinear regression methods, the hyperspectral remote sensing retrieval models of verticillium wilt severity level with remote sensing parameters as independent variables were constructed and validated. The result showed that spectral reflectance increased significantly in visible and short infrared wave band with the increase in the severity level, and this is especially significant in visible band. The raw spectral reflectance has the maximum coefficient of determination at 694 nm (R²=0.461 6) with severity level and the logarithm model constructed with reflectance at this point is the better one as compared to linear model. By the precision evaluation of retrieval models, the linear model with the first derivative reflectance at 717 nm as independent variable was proved to be the best, with R²=0.488 9, RMSE=0.257 1, and relative error=12.74%, for the estimation of verticllium wilt severity level of cotton leaf. The results provide a good basis for further studying monitoring mechanism of cotton verticillium wilt by remote sensing data, and have an important application in acquiring cotton disease information using hyperspectral remote sensing.

Key words：Cotton;VerticIllium wilt;Severity level;Hyperspectral characteristic variables;Retrieval model

Received: 2008-10-12 Accepted: 2009-01-18

ZTFLH:

S127

Corresponding Authors: WANG Ji-hua E-mail: wangjh@nercita.org.cn

Cite this article:

JING Xia,HUANG Wen-jiang,WANG Ji-hua, et al. Hyperspectral Inversion Models on Verticillium Wilt Severity of Cotton Leaf [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(12): 3348-3352.

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https://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2009)12-3348-05 OR https://www.gpxygpfx.com/EN/Y2009/V29/I12/3348

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