基于光谱特征的月球岩性分类方法研究——以Apollo 16登月区域为例

利用NASA行星数据系统提供Apollo计划登月点采样线路影像数据,通过与嫦娥二号CCD数据、印度M~3数据空间校正获得采样路线坐标。开展嫦娥二号CCD数据与印度M~3数据MAP(后验概率)融合并选择Apollo 15、Apollo 16-62231的LSCC测得的标准岩石双向反射率光谱与M~3、嫦娥二号进行交叉定标。本文采用月球岩石光谱谱型全特征分析方法,选取涵盖Apollo计划登月获取的36个基站主要岩性87种、285件岩石样品,利用校正后的M~3数据分析月球典型岩石各阶吸收反射特征,建立月球典型岩石标准遥感影像光谱库,此后应用Apollo 623个岩石样品进行对比得到很好结果,同时完成Apollo 16登月点周围领域岩性分布图,并讨论了研究区的岩石成因,Apollo 16区域形成于高地大撞击,在早期的研究中已经被用于划分月球年代,本文方法对于月球岩石类别研究与理解月球的岩浆演化具有重要的研究价值。

On the methodology of lunar lithological classification based on spectral characteristics as exemplified from Apollo 16 moon landing area

This article gets the sampling path coordinates by using the NASA planetary data system to provide the Apollo moon landing point image data sampling circuit, with the correction of data interferometer of Chang'E 2 interference imaging and India M³ data space. Carrying out the data fusion between Chang'E 2 CCD data and India M³ MAP (posteriori probability) data and select Apollo 15, Apollo 16-62231 standard of LSCC measured rock bidirectional reflectance spectrum and M3, Chang'E 2 to calibrate the cross. We adopt the analysis methods of the moon rock type spectrum characteristics, select mainly lithologic 87 classes, 285 pieces of rock samples of the 36 stations covered the Apollo moon landing, analyses the typical rock absorption reflection characteristics of each order by using M3 data after correction, establish the typical rock standard remote sensing image spectral library, then obtains good results by comparing Apollo 623 rock samples, at the same time, complete lithology profile around Apollo 16 landing sites and discuses the rock formation in the study area. Apollo 16 area formed in the highlands of the collision, in the early years of the study has been used to differentiate the moon age. The methods of this paper have important research value in understanding the lunar rocks classification and the moon of magma evolution.