Poa pratensis variety identification method based on hyper-spectral image

A technology of bluegrass and hyperspectral images, applied in the measurement of color/spectral characteristics, etc., can solve the problems of variation, inconvenience of use, and complicated analysis process.

Inactive Publication Date: 2012-10-03
BEIJING FORESTRY UNIVERSITY
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Problems solved by technology

However, there are serious defects in the morphological recognition method. This method is limited to those grass species with significant characteristics in appearance. The purpose of identification is achieved by observing traits such as leaf color, leaf width, and blade angle. However, these traits may vary due to There are variations due to different regions and conservation management; on the other hand, there are man

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  • Poa pratensis variety identification method based on hyper-spectral image
  • Poa pratensis variety identification method based on hyper-spectral image
  • Poa pratensis variety identification method based on hyper-spectral image

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Embodiment Construction

[0043] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples serve to illustrate the present invention, but do not limit the scope of the present invention.

[0044] Such as figure 1 As shown, the bluegrass species identification method based on hyperspectral image of the present invention comprises:

[0045] In step S1, the prepared bluegrass sample is placed in a hyperspectral imaging device to collect hyperspectral images.

[0046] Step S2, extracting information of the hyperspectral image, including spectrum information and / or appearance feature information. In this embodiment, the appearance characteristic information is the leaf width of Bluegrass grass, and the leaf widths of three different parts in the middle of the leaf are extracted, and the average value is taken as the leaf width.

[0047] Step S3, calculating the total difference...

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Abstract

The invention discloses a Poa pratensis variety identification method based on a hyper-spectral image. The method comprises the following steps of: 1, placing Poa pratensis samples which are prepared in a hyper-spectral imaging device, and acquiring the hyper-spectral image; 2, extracting the information of the hyper-spectral image, which comprises spectral information and/or external characteristic information; 3, calculating total difference between different Poa pratensis varieties at different wave bands according to the spectral information which is extracted; 4, establishing a function model for determining different varieties of Poa pratensis according to the total difference at each wave band or according to the total difference and the external characteristic information; and 5, determining the samples according to the function model which is established in the step 4 to identify different varieties of Poa pratensis. The method provided by the invention is easy and convenient to operate, and has large technical advantages. The acquired information is accurate and reliable, and batch quick identification can be performed.

Description

technical field [0001] The invention relates to the field of infrared spectrum identification, in particular to a method for identifying bluegrass species based on hyperspectral images. Background technique [0002] Bluegrass bluegrass is an excellent cool-season turfgrass. It is widely planted in Europe, America and northern my country, and is widely used in urban green spaces, garden greening, sports fields, etc. According to incomplete statistics, more than 70 varieties of bluegrass have been bred so far. Since different varieties have different growth and development characteristics and have different adaptability to the environment, it is extremely important to choose suitable varieties for production. However, the use of variety names on the market is very confusing, and some illegal seed sellers, in pursuit of economic interests, change the variety names at will from time to time, causing losses to consumers. Finding a fast and accurate method for identifying bluegr...

Claims

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Application Information

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IPC IPC(8): G01N21/25
Inventor 肖波韩烈保梁小红
Owner BEIJING FORESTRY UNIVERSITY
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