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Mineral constituent hyperspectral remote sensing fine identification method

A technology for hyperspectral remote sensing and mineral composition, applied in the field of fine identification of mineral composition hyperspectral remote sensing, can solve problems such as spectral noise removal, endmember uncertainty, and difficulty in mineral spectral unmixing, so as to improve reliability and improve Accuracy, the effect of ensuring accuracy

Inactive Publication Date: 2017-11-24
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] In view of this, the present invention provides a hyperspectral remote sensing fine identification method for mineral components, which solves the problems of uncertainty of endmembers, spectral noise removal and mineral spectrum unmixing difficulties

Method used

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  • Mineral constituent hyperspectral remote sensing fine identification method
  • Mineral constituent hyperspectral remote sensing fine identification method
  • Mineral constituent hyperspectral remote sensing fine identification method

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Embodiment 1

[0043] like figure 1 As shown, the mineral component hyperspectral remote sensing fine identification method provided by the present embodiment 1 comprises the following steps:

[0044] Step 101. Grinding and sieving mineral samples in the research area to obtain mineral powders with required particle size.

[0045]Specifically, mineral samples were collected in the research area. In order to avoid the influence of the heterogeneity of solid samples on the mineral inversion results, after removing impurities such as weeds and branches attached to the collected mineral samples, the The collected samples are crushed into powder and sieved to obtain mineral powder with the required particle size. In this embodiment, the ground powder is passed through a 100-mesh sieve to obtain mineral powder with a particle size less than or equal to 100 mesh.

[0046] Step 102, placing the mineral powder on a sample holder in a spectrometer, performing spectral scanning, and acquiring at leas...

Embodiment 2

[0061] like figure 2 As shown, the mineral component hyperspectral remote sensing fine identification method provided by the present embodiment 2 comprises the following steps:

[0062] Step 201. Grinding and sieving mineral samples in the research area to obtain mineral powders with required particle size.

[0063] Specifically, mineral samples were collected in the research area. In order to avoid the influence of the heterogeneity of solid samples on the mineral inversion results, after removing impurities such as weeds and branches attached to the collected mineral samples, the The collected samples are crushed into powder and sieved to obtain mineral powder with the required particle size. In this embodiment, the ground powder is passed through a 100-mesh sieve to obtain mineral powder with a particle size less than or equal to 100 mesh.

[0064] Step 202, placing the mineral powder on a sample holder in a spectrometer, performing spectral scanning, and acquiring at le...

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Abstract

The invention discloses a mineral constituent hyperspectral remote sensing fine identification method. The method comprises the following steps: subjecting mineral powder in a research region to spectrum scanning to obtain the spectral curves of the mineral powder; extracting and removing abnormal spectral curves in the obtained spectral curves of the mineral powder, carrying out average calculating operation to obtain the average spectral curve of the mineral powder; carrying out a de-noising treatment to obtain a spectral curve without any noise; carrying out a standardization treatment to obtain the absorption peaks of the spectral curve; obtaining all end members of the spectral curve, obtaining the optimal end member group through a least square method model; according to spectral reflectivity values of end members of the optimal end member group and the spectral reflectivity value measured in the research region, establishing a spectral reflectivity inversion equation set, and solving the equation set to obtain the mineral components contained by the spectral curve measured in the research region through remote sensing. The problems such as uncertainty of end members, removal of spectral noise, de-mixing of mineral spectrums, and the like, are solved by the provided method.

Description

technical field [0001] The invention relates to the technical field of remote sensing information extraction, and more specifically, to a fine identification method of mineral components by hyperspectral remote sensing. Background technique [0002] Minerals refer to simple substances and compounds of natural elements that are produced and developed in various geological processes and are relatively stable under certain geological and physical and chemical conditions. They are the basic units of rocks. The main minerals that make up rocks are called rock-forming minerals, and in the process of diagenesis and ore formation, the minerals whose composition, structure, and structure change due to temperature and pressure changes are called alteration minerals. The type and content of minerals can indicate the physical and chemical conditions of mineralization, the nature and evolution of hydrothermal fluids, as well as information about the migration, enrichment and ore precipit...

Claims

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Application Information

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IPC IPC(8): G01N21/31
CPCG01N21/31
Inventor 王钦军陈玉
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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