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Method for analyzing chlorophyll distribution on surface of leaves of plant by hyperspectral image and independent component

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: 2010-04-07
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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  • Method for analyzing chlorophyll distribution on surface of leaves of plant by hyperspectral image and independent component
  • Method for analyzing chlorophyll distribution on surface of leaves of plant by hyperspectral image and independent component
  • Method for analyzing chlorophyll distribution on surface of leaves of plant by hyperspectral image and independent component

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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

A method for analyzing chlorophyll distribution on surface of leaves of a plant by hyperspectral image and independent component relates to a prediction method of chlorophyll distribution on surface of leaves of a plant. The method is implemented by the following steps: processing of hyperspectral image, analyzing and selecting of independent component, and calculating of chlorophyll distribution on surface of leaves of the plant. The processing of hyperspectral image comprises marking hyperspectral image and extracting spectrum; the analyzing and selecting of independent component comprises: analyzing and calculating the independent component by independent component method, and selecting the optimal independent component according to the regression analysis result; the calculating of chlorophyll distribution on surface of leaves of the plant means using the selected optimal independent component and the model to calculate chlorophyll content value of each point on the surface of leaves to constitute a chlorophyll distribution graph. Under the prerequisite of not damaging the surface of leaves, the chlorophyll content distribution graph obtained in the invention not only can indicate the local chlorophyll content of the leaves, but also can obtain the distribution situation of chlorophyll on the whole surface of the leaves, thus providing basis for intelligent judgment of nutrition situation of the plant.

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 Applications(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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