顾及月表铁元素含量的次生撞击坑识别

The Identification of Secondary Craters based on the Distribution of Iron Element on Lunar Surface

  • 摘要: 月表地质年代的确定是研究月球形成及演化历史,反演月质事件发生过程的基础。在对月表地质单元定年时,由于月球岩石、土壤和岩心样品数量有限,能够利用这些样品做同位素定年的地质单元范围很小,因此更大范围的月球表面的绝对年龄需要采用撞击坑尺寸频率定年法(crater size-frequency distribution,CSFD)测定。然而月球表面次生撞击坑的存在会导致CSFD法得到的定年结果会出现偏差,故在标注撞击坑时有必要对次生撞击坑予以剔除,以便对行星表面的地质单元做较为准确的定年。本文提出一种顾及月表铁元素含量的次生撞击坑识别方法。使用波段比值法获取月表铁元素含量信息,以次生撞击坑内铁元素含量更接近月壤铁元素含量为假设前提,以撞击坑内与月壤铁元素含量的差值为判据分离主撞击坑和次生撞击坑。文中以日本月亮女神MI多光谱数据为实验数据,验证本文方法的有效性和稳健性。实验结果表明,在依据铁元素含量剔除次生撞击坑后的定年结果与已知定年结果之差小于0.04Ga,具有较好的一致性;与其它次生撞击坑剔除方法相比,依据月表铁元素信息剔除次生撞击坑的结果更可靠。

     

    Abstract: To determine the geologic age of the lunar surface is the foundation of the research on the formation and evolution of the Moon, and of the inversion of the processes of lunar geological events. Lack of lunar rock and soil samples limits the range of geological units that can used for isotopic dating. Therefore, the dating using crater size-frequency distribution (CSFD) is employed to obtain the geologic ages of broader regions on the lunar surface. However, the presence of secondary craters will lead to a deviation in geologic age which is obtained by CSFD method. Thus, to get a more accurate geologic age, secondary craters should be eliminated. This paper presents a method to identify secondary craters based on the distribution of iron element on lunar surface. First, the method assumes that the iron content in secondary craters is close to that in lunar regolith. Then, band ratio method is utilized to acquire the iron content. Finally, secondary craters are distinguished from primary ones in terms of the difference of iron content between craters and lunar regolith. The effectiveness and robustness of the proposed method were tested using MI multispectral data of the Japanese Selene Mission. The experimental results show that the geologic age deviation compared with the known isotopic dated ones is less than 0.04Ga, which shows good consistency. Compared with other secondary craters identification methods, the proposed approach is proven to be more effective and robust.

     

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