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Method for inverting vegetation parameters by remote sensing based on reflection spectrum wavelet transform

A wavelet transform and reflectance spectrum technology, applied in the field of hyperspectral remote sensing monitoring and quantitative inversion, can solve the problem of low inversion accuracy of biochemical parameters, and achieve the effect of improving inversion accuracy

Inactive Publication Date: 2012-06-20
ZHEJIANG UNIV
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Problems solved by technology

[0003] In order to solve the problem that the existing biochemical parameter inversion method does not consider the spectral scale effect and the biochemical parameter inversion accuracy is not high, the present invention provides a vegetation biochemical parameter remote sensing based on reflection spectrum wavelet transform that considers spectral scale characteristics and has high precision inversion method

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  • Method for inverting vegetation parameters by remote sensing based on reflection spectrum wavelet transform
  • Method for inverting vegetation parameters by remote sensing based on reflection spectrum wavelet transform
  • Method for inverting vegetation parameters by remote sensing based on reflection spectrum wavelet transform

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Embodiment Construction

[0021] The present invention will be further described below in conjunction with the accompanying drawings.

[0022] refer to figure 1 and figure 2 , a remote sensing inversion method of vegetation parameters based on reflectance spectrum wavelet transform, the inversion method includes the following steps:

[0023] 1) Spectral data transformation: Obtain vegetation parameters and their spectra under different conditions, and perform various spectral transformations on the spectra, including derivative transformations, pseudo-absorption changes, etc.;

[0024] 2) Wavelet transform: The original spectrum is subjected to continuous wavelet transform using different wavelet functions to generate wavelet coefficients with different frequencies. The continuous wavelet transform formula of the original spectrum is as follows:

[0025] (1)

[0026] In the formula, a and b are real numbers, and the wavelet coefficient is continuous, continuous wavelet transform ...

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Abstract

The invention relates to a method for inverting vegetation parameters by remote sensing based on reflection spectrum wavelet transform. The method comprises the following steps of: 1) acquiring the vegetation parameters and the original spectrum thereof under different conditions, and performing spectrum transform on the original spectrum; 2) performing continuous wavelet transform on the original spectrum by using different wavelet functions, and generating wavelet coefficients with different frequencies; 3) performing stepwise regression by taking different scales of wavelet coefficients asindependent variables and taking the vegetation parameters as dependent variables, selecting spectrum wave bands needed by the inversion of the vegetation parameters, constructing a model of quantitative inversion of the vegetation parameters, and calculating R2 of the model; and 4) comparing modeling R2 of the constructed model according to different wavelet decomposition scales, and determiningthe model with the maximum modeling R2 as the optimal model. By the method, the hyperspectral remote sensing inversion precision of the vegetation parameters can be obviously improved, and the remotesensing inversion precision of biochemical parameters can be improved preferably. The method has wide parameter applicability, is applicable to leaf or canopy reflection spectrum, and is applicable to satellite remote sensing hyperspectral data.

Description

technical field [0001] The invention relates to the field of hyperspectral remote sensing monitoring and quantitative inversion, in particular to a vegetation parameter remote sensing inversion method based on reflection spectrum wavelet transform. Background technique [0002] Vegetation parameters are classified into two categories: biophysical parameters and biochemical parameters (biochemical parameters). Biophysical parameters include biomass, leaf area index, coverage, plant height, leaf inclination, etc.; biochemical parameters include chlorophyll, nitrogen, protein, lignin, etc. Different biochemical parameters have different absorption-reflection characteristics, manifested as different absorption-reflection peaks and valleys, and these absorption-reflection peaks and valleys have characteristics such as size and depth, that is, they have different scale characteristics. The current remote sensing inversion is to use the original spectrum or the derivative, pseudo-...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/31
Inventor 王福民黄敬峰
Owner ZHEJIANG UNIV
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