A method for the analysis of chlorophyll distribution on plant leaves using hyperspectral images and independent components

An independent component analysis and hyperspectral image technology, which is applied to the measurement of color/spectral characteristics, can solve the problem of low accuracy of chlorophyll content

Inactive Publication Date: 2011-12-21
JIANGSU UNIV
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Problems solved by technology

[0005] The invention overcomes the problem that the traditional technology can only detect the chlorophyll content at a certain point and the image technology has low precision in detecting the chlorophyll content, and invents a method for analyzing the hyperspectral image of the plant leaf surface by using the independent component method and predicting its chlorophyll distribution

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  • A method for the analysis of chlorophyll distribution on plant leaves using hyperspectral images and independent components
  • A method for the analysis of chlorophyll distribution on plant leaves using hyperspectral images and independent components
  • A method for the analysis of chlorophyll distribution on plant leaves using hyperspectral images and independent components

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Embodiment Construction

[0023] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0024] figure 1 is the structure diagram of leaf hyperspectral image data block. For any pixel of the image has λ 1 ,···,λ n Absorption values ​​at wavelengths such as figure 1 The lower left corner is the spectral curve of a certain pixel of the hyperspectral image; for any wavelength λ of the image i Both have a complete image of a blade at this wavelength, such as figure 1 The lower right corner is the leaf image at a certain wavelength of the hyperspectral image.

[0025] Collected n such as figure 1 The hyperspectral image data shown, according to figure 2 The flowchart shown is for leaf chlorophyll distribution prediction. All leaf hyperspectral images ( figure 1 ) is calibrated, the spectral signal is extracted, and independent component analysis is performed on the spectral signal. Select the best independent component S among the calculate...

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Abstract

The invention relates to a method for analyzing the distribution of chlorophyll on the leaf surface of a plant with a hyperspectral image and an independent component, and relates to a method for predicting the distribution of chlorophyll on the leaf surface of a plant. The following steps are followed: hyperspectral image preprocessing, independent component analysis and selection, and calculation of chlorophyll distribution on plant leaves. Wherein the hyperspectral image preprocessing includes hyperspectral image calibration and spectrum extraction; the independent component analysis and selection include: using the independent component method to analyze and calculate the independent component, and then select the best independent component according to the regression analysis result; The calculation of the chlorophyll distribution on the plant leaf surface refers to calculating the chlorophyll content value of each point on the leaf surface by using the selected best independent component and model to form a chlorophyll distribution map. On the premise of not damaging the leaf surface, the obtained distribution map of chlorophyll content can not only reflect the local chlorophyll content of the leaf, but also obtain the distribution of chlorophyll on the entire leaf surface, providing a basis for intelligent judgment of the nutritional status of plants .

Description

technical field [0001] The invention relates to a method for predicting the distribution of chlorophyll on plant leaves, in particular to a method for analyzing the distribution of chlorophyll on plant leaves based on hyperspectral images and independent components. Background technique [0002] In soilless cultivation, crops often lack certain nutrient elements, especially during the period of flowering and fruiting. Usually, experts can only diagnose the lack of nutrients when the lack of nutrients is obvious. In the initial stage of nutrient deficiency, nutrient-deficient leaves are similar to normal leaves, weak symptoms are difficult to detect, and it is difficult for experts to diagnose, which will seriously affect crop quality and yield. Therefore, it is of great significance to study the early intelligent diagnosis of nutrient deficiency in soilless cultivation crops. The chlorophyll content of crops is the main biochemical parameter, which represents the nutritional...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/25
Inventor 赵杰文邹小波殷晓平石吉勇黄星奕蔡健荣陈全胜
Owner JIANGSU UNIV
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