光子学报 ›› 2019, Vol. 48 ›› Issue (10): 1030002-1030002.doi: 10.3788/gzxb20194810.1030002

• 光谱学 • 上一篇    下一篇

基于主成分载荷空间距离的LIBS特征谱线选择及矿物元素丰度识别方法研究

郭恺琛1,2, 武中臣1,2, 朱香平3, 凌宗成1,2, 张江1,2, 李芸1,2, 钱茂程1,2   

  1. 1. 山东大学 空间科学研究院, 山东 威海 264209;
    2. 山东大学 山东省光学天文与日地空间环境重点实验室, 山东 威海 264209;
    3. 中国科学院西安光学精密机械研究所 瞬态光学与光子技术国家重点实验室, 西安 710119
  • 收稿日期:2019-05-09 出版日期:2019-10-25 发布日期:2019-06-28
  • 通讯作者: WU Zhong-chen(1976-),male,professor,Ph.D.degree,mainly focuses on planetary spectroscopy,LIBS.Email:z.c.wu@sdu.edu.cn E-mail:z.c.wu@sdu.edu.cn
  • 作者简介:GUO Kai-chen(1993-),male,M.S.degree candidate,mainly focus on planetary spectroscopy,LIBS.Email:kyle_goo@mail.sdu.edu.cn
  • 基金资助:

    The National Natural Science Foundation of China (No. 41573056), National Key Research and Development Program of China (No.2016YFB0303804)

Mineral Element Abundance Identification Based on LIBS Emission Line Selection by Loading Space Distance of Principal Component Analysis

GUO Kai-chen1,2, WU Zhong-chen1,2, ZHU Xiang-ping3, LING Zong-cheng1,2, ZHANG Jiang1,2, LI Yun1,2, QIAN Mao-cheng1,2   

  1. 1. Institute of Space Scienc, Shandong University, Weihai, Shandong 264209, China;
    2. Shandong Provincial Key Laboratory of Optical Astronomy & Solar Terrestrial Environment, Shandong University, Weihai, Shandong 264209, China;
    3. State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China
  • Received:2019-05-09 Online:2019-10-25 Published:2019-06-28
  • Contact: 2019-06-28 E-mail:z.c.wu@sdu.edu.cn
  • Supported by:

    The National Natural Science Foundation of China (No. 41573056), National Key Research and Development Program of China (No.2016YFB0303804)

摘要:

以ChemCam团队公布的64个飞行前定标样品的浓度和激光诱导击穿光谱数据为对象,通过使用主成分分析载荷空间距离法对特定元素分析,筛选出对该元素最敏感的激光诱导击穿光谱谱线,并以此为依据进行矿物元素种类和丰度识别,其识别精度高达92.8%.结果表明,主成分分析载荷空间距离可以作为定量分析前矿物特定元素信息和元素丰度的判断依据.该方法降低了岩石/矿物分类的难度,有利于实现未知的矿物快速、高效的鉴别分析,为火星表面岩石种类鉴别分析提供了一个有效的策略.

关键词: 波长选择, 矿物分析, 激光诱导击穿光谱技术, 等离子体, 主成分分析法, 行星光谱学

Abstract:

The concentration and laser-induced breakdown spectroscopy data of 64 pre-flight calibration samples, published by the ChemCam team, were used as objects of research. Principal component analysis loading space distance method was used to analyze the target element, the most sensitive laser-induced breakdown spectral line of the target element was selected, and the mineral element species and abundance were identified with the identification accuracy up to 92.8% based on this method. The result shows that principal component analysis loading space distance can be used as a criterion to obtain the critical element information of minerals element abundance before, if aim to serve for, quantitative analysis. This study reduces the difficulty in rock/mineral classification and is beneficial to unknown minerals analysis, which offers an effective identification strategy for the Martian surface rock type analysis.

Key words: Principal component analysis, Laser induced breakdown spectroscopy, Minerals, Feature extraction, Planetary spectroscopy, Plasma

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