Research on Hyper-Spectral Data Processing of Rock Minerals

Research on Hyper-Spectral Data Processing of Rock Minerals

论文摘要

The most successful areas of application of hyper-spectral technology are: mineral identification and mineral mapping. Spectral reflection information and radiation information of mineral species, abundance and composition can identify altered minerals and hydrothermal mineralized alteration zones closely related to mineralization, and quantitative or semi-quantitative estimation of eclipse by correlation analysis methods. Variable strength and altered mineral content. In this study, the field spectral acquisition experiments were carefully designed, the spectral data was collected strictly according to the experimental design, and the data processing was carried out. The field spectral characteristics of different types of rocks in the study area were tested, and the spectral data characteristics of the rocks were compared and analyzed.

论文目录

  • Introduction
  • Field Experiment Data Collection
  •   Field Route Development
  •   Sample Collection
  •     (1) Method of sampling
  •     (2) Experimental content
  •   Experimental Instruments
  •   Data Collection
  •     Spectral Data Acquisition Design
  •     Indoor Spectral Control Experiment
  •   Spectral Data Processing
  •     Measured Sample Data
  •     Spectral Data of Mineral Rocks
  •       (1) Field and indoor spectral data
  •       (2) Smoothing
  • Summary
  • 文章来源

    类型: 国际会议

    作者: Wei WANG,Jin-lin WANG,Ke-fa ZHOU,Zhi-xin ZHANG,Shan-shan WANG,Shu-guang ZHOU,Meng-juan WU

    来源: 2019 International Conference on Informatics, Control and Robotics (ICICR 2019) 2019-06-16

    年度: 2019

    分类: 基础科学,工程科技Ⅰ辑,工程科技Ⅱ辑,信息科技

    专业: 地质学,地球物理学,矿业工程,工业通用技术及设备,自动化技术

    单位: State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Xinjiang Key Laboratory of Mineral Resources and Digital Geology,Xinjiang Research Centre for Mineral Resources, Chinese Academy of Sciences,University of Chinese Academy of Sciences

    分类号: TP751;P627

    DOI: 10.26914/c.cnkihy.2019.077881

    页码: 337-342

    总页数: 6

    文件大小: 724k

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