Leaf nitrogen content high spectral evaluation method for continuous wavelet transformation analysis

A wavelet transform, nitrogen content technology, applied in the agricultural field, can solve the problems of lack of stability and universality of the model, and achieve the effect of strong interpretability

Inactive Publication Date: 2017-01-11
NORTHWEST A & F UNIV
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Problems solved by technology

Some scholars use stepwise regression analysis to quantitatively estimate crop biochemical parameters. Although the accuracy of the model has been improved, there is a high correlation between the variables of some equations, which makes the results of the model lack stability and universality.

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  • Leaf nitrogen content high spectral evaluation method for continuous wavelet transformation analysis
  • Leaf nitrogen content high spectral evaluation method for continuous wavelet transformation analysis
  • Leaf nitrogen content high spectral evaluation method for continuous wavelet transformation analysis

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Embodiment Construction

[0012] The technical scheme of the present invention will be further described in detail below in conjunction with the drawings and specific implementations.

[0013] The overall idea of ​​the present invention is:

[0014] 1. Use bior6.8, ciof5, db10, rbio6.8, sym8 wavelet mother function in MATLAB to perform continuous wavelet on winter wheat canopy spectrum signal (including original canopy, derivative spectrum, logarithmic transformation spectrum, continuum removal spectrum) The linear correlation analysis of the wavelet coefficients and leaf nitrogen content of different wavelet mother functions at different scales shows that the db10 wavelet mother function has certain advantages in estimating the leaf nitrogen content. Among them, it is based on the logarithmic spectrum and the db10 wavelet mother function. The combination is the best data combination for leaf nitrogen content estimation.

[0015] 2. Use db10 wavelet mother function and logarithmic spectrum data to perform co...

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Abstract

The invention discloses a leaf nitrogen content high spectral evaluation method for continuous wavelet transformation analysis. F values of PLS and RF leaf nitrogen content estimation models are respectively 294.94 and 8009.23 and pass a 0.01 level significance test, a determination coefficient of a PLS prediction model is 0.78, and all wavelet characteristic parameter and leaf nitrogen content relations can be fitted via a non-linear exponential model; when a partial least squares method adopted for linear regression of a leaf nitrogen content, an LNC<2% part is perfectly fitted, a random forest regression prediction model is high in precision and is 0.97 in determination coefficient, out-of-bag data root mean square error is 0.09, a pseudo multiple correlation coefficient is 0.85, a fitting equation for predicted values and measured values of reserved 63 validation sets is 0.88 in determination coefficient, RMSE error is 0.08, and REP error is 5.2.

Description

Technical field [0001] The invention belongs to the technical field of agriculture, and relates to a hyperspectral estimation method of leaf nitrogen content by continuous wavelet transform analysis. Background technique [0002] Wavelet transform analysis decomposes the non-stationary signal into a combination of various wavelets, performs signal analysis in the time threshold and frequency domain at the same time, effectively distinguishes the abrupt part and noise in the signal, and realizes the denoising of the signal. In signal processing and compression , Image processing, fault diagnosis, geophysics, medical biology, environmental science and other fields are widely used. Wavelet transform can be divided into two types, continuous wavelet transform and discrete wavelet transform. After continuous wavelet transform and discrete wavelet transform, a series of wavelet coefficients at different scales will be generated. The essence is the similarity coefficient between wavelet...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01J3/28
CPCG01J3/2823G01J2003/2826
Inventor 李粉玲常庆瑞
Owner NORTHWEST A & F UNIV
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