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.

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.