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Method for extracting stable spectrum characteristics of solid matter

A technology of solid matter and spectral characteristics, applied in the field of target recognition, it can solve the problems of natural feature changes and spectral changes, and achieve the effect of strong anti-noise ability.

Active Publication Date: 2012-10-10
HUAZHONG UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

So far, there are still some problems in using spectrum for target recognition: (1) The spectrum will change with the temperature of the target body; (2) The spectrum of natural objects will change with time and geographical environment

Method used

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  • Method for extracting stable spectrum characteristics of solid matter
  • Method for extracting stable spectrum characteristics of solid matter
  • Method for extracting stable spectrum characteristics of solid matter

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Experimental program
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Embodiment Construction

[0037] The invariable characteristic of the present invention refers to the unique spectral characteristic related to the target that can be obtained under the condition of multi-spectral and hyperspectral detection sensors, and the spectral characteristic remains unchanged under different environmental conditions.

[0038] The preliminary work of target recognition and detection based on the spectrum is to build the spectrum basic database from the target's spectrum data. Among them, the spectral data sources are in the following ways: 1. Public spectral databases, such as the 0.2-3.0 μm USGS spectral database established by the United States Geological Survey for remote sensing exploration of mineral resources; Hopkins University, USA The 0.4~25μm ASTER spectral database of ground features and artificial targets. 2. Data collected by experimental equipment, such as infrared spectrum data collected by infrared Fourier spectrometer.

[0039] The processing flow of the present inve...

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Abstract

The invention provides a method for extracting stable spectrum characteristics of a solid matter, comprising the steps of: firstly, carrying out multiscale decomposition on spectrum data, then carrying out regional division on the topography under all the scales respectively, carrying out local binary coding on each region so as to complete the expression on shape trends for the spectrum data, then generating a regional characteristic histogram according to the binary coding of each region, sequentially connecting all the regional characteristic histograms of all the regions under the same scale so as to form a spatial enhanced histogram, and finally carrying out weighting and calculating on the obtained spatial enhanced histograms of different scales to obtain a spectrum characteristic vector. The invention is used for extracting the stable intrinsic spectrum characteristics of solid materials under different conditions, has robustness resistant to condition changes and excellent separating capacity, and provides support for spectrum based target identification under complex conditions.

Description

Technical field [0001] The invention belongs to the field of target recognition, and specifically relates to a method for extracting spectral features, and is particularly suitable for solid substances. Background technique [0002] Conventional detection methods generally use single-spectrum imaging detection methods to collect target / background energy on a wider spectrum. At this time, the target is often submerged in complex background clutter or is concealed by interference, camouflage, etc., and it appears as a target signal Very weak, with low signal-to-noise ratio and signal-to-noise ratio. However, the inherent physical, chemical properties and structure of the target are quite different from the background, interference, camouflage, etc. Therefore, on certain spectral lines or narrower spectral bands, its characteristics will be more obvious, that is, in these spectral lines or relatively In the narrow spectrum, the signal-to-noise ratio and signal-to-noise ratio of the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46
Inventor 张天序颜露新郑珍珠杨卫东方正孙协昌张伟刘翔燕边小勇徐利成王娟付平高慧杰
Owner HUAZHONG UNIV OF SCI & TECH
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