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Gas radiation spectrum invariant characteristic extraction method suitable for temperature pressure change

A spectral feature, gas technology, applied in the field of gas radiation spectral feature extraction

Inactive Publication Date: 2012-02-08
HUAZHONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

So far, there are still problems in using spectra for identification (such as image 3 As shown): The spectrum will change with the physical conditions such as temperature and pressure of the body to be identified. Therefore, extracting the unique invariant features of the spectrum has become an important research content for identification and detection based on spectral fingerprint multi-spectral images (images)

Method used

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  • Gas radiation spectrum invariant characteristic extraction method suitable for temperature pressure change
  • Gas radiation spectrum invariant characteristic extraction method suitable for temperature pressure change
  • Gas radiation spectrum invariant characteristic extraction method suitable for temperature pressure change

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0062] In this example, the fingerprint matching test of the radiation spectrum of the same substance at different temperatures is carried out.

[0063] Select the radiation spectrum data of gas carbon dioxide at different temperatures for testing. Spectrum data such as Figure 4 (a) shown. Figure 4 (a) is the radiation spectrum of gaseous carbon dioxide at different temperatures, wherein the solid line represents the radiation spectrum of gaseous carbon dioxide at a temperature of 296K, and the dotted line represents the radiation spectrum of gaseous carbon dioxide at a temperature of 460K.

[0064] Step 1: Generate a CSS fingerprint.

[0065] 1. Create an empty fingerprint map, the X-axis is the wave number, and the Y-axis is the scale parameter;

[0066] 2. Set the initial Gaussian kernel scale parameter to 1, and the incremental step of the scale parameter to 0.5;

[0067] 3. Generate a one-dimensional Gaussian kernel according to the current scale parameters;

[0068...

example 2

[0091] In this example, the fingerprint matching test of the radiation spectrum of the same substance under different pressures is carried out.

[0092] Select the radiation spectrum data of gas carbon dioxide under different pressures for testing. Spectrum data such as Figure 5 (a) shown. Figure 5 (a) is the radiation spectrum of gaseous carbon dioxide under different pressures, wherein the solid line represents the radiation spectrum of gaseous carbon dioxide at a pressure of 0.1 MPa, and the dotted line represents the radiation spectrum of gaseous carbon dioxide at a pressure of 0.2 MPa.

[0093] Step 1: Generate a CSS fingerprint.

[0094] Perform steps 1 to 6 for the reference spectrum and the spectrum to be identified respectively.

[0095]1. Create an empty fingerprint map, the X-axis is the wave number, and the Y-axis is the scale parameter;

[0096] 2. Set the initial Gaussian kernel scale parameter to 1, and the incremental step of the scale parameter to 0.5;

...

example 3

[0122] In this example, the fingerprint matching test of the radiation spectrum under the simultaneous change of the temperature and pressure of the same substance is carried out. Select the radiation spectrum data of gas carbon dioxide at different temperatures and pressures for testing. Spectrum data such as Image 6 (a) shown. Image 6 (a) Radiation spectrum of carbon dioxide under different physical states (both temperature and pressure change). The solid line represents the radiation spectrum of carbon dioxide at a temperature of 172K and a pressure of 0.1MPa; the dotted line represents the radiation spectrum of carbon dioxide at a temperature of 296K and a pressure of 0.2MPa radiation spectrum below.

[0123] Step 1: Generate a CSS fingerprint.

[0124] Perform steps 1 to 6 for the reference spectrum and the spectrum to be identified respectively.

[0125] 1. Create an empty fingerprint map, the X-axis is the wave number, and the Y-axis is the scale parameter;

[012...

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Abstract

The invention provides a target identification method of gas extracted based on radiation spectrum characteristics. A fingerprint image is generated on a gas target spectrum by using a one-dimensional curvature scale space description method; fingerprint characteristics of the fingerprint image, namely the position of an arched peak, are extracted; and the closest position of the fingerprint characteristics is as the reference to carry out target matching identification. According to the method disclosed by the invention, steady radiation spectrum intrinsic characteristics which are not influenced by temperature and pressure are extracted; the method has robustness resisting condition change and good differentiating capability; and the support is provided for the future identification based on the spectrum under a complex condition.

Description

technical field [0001] The invention belongs to the field of time-varying recognition based on spectrum features, and in particular relates to a gas radiation spectrum feature extraction method. Background technique [0002] Conventional detection methods generally use single-spectrum imaging detection methods to collect to-be-identified / background energy on a wider spectrum. The signal to be identified is very weak, and the signal-to-noise ratio and signal-to-clutter ratio are very low. However, the inherent physical and chemical properties and structure of the object to be identified are quite different from the background, interference, camouflage, etc., so its characteristics will be more obvious on certain spectral lines or narrow spectral bands, that is, in these spectral lines Or on a narrower spectrum, the signal-to-noise ratio and signal-to-noise ratio of the object to be identified are higher than the background. Through the extraction of spectral fingerprints, t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/25
Inventor 张天序郑珍珠方正张伟杨卫东颜露新徐利成王娟付平
Owner HUAZHONG UNIV OF SCI & TECH
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