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首页> 外文期刊>Journal of the Geological Society of India >Mineral mapping of lunar highland region using Moon Mineralogy Mapper (M-3) hyperspectral data
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Mineral mapping of lunar highland region using Moon Mineralogy Mapper (M-3) hyperspectral data

机译:使用Moon Mineralogy Mapper(M-3)高光谱数据对月球高地地区进行矿物制图

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Mineral mapping of lunar surface is significant to understand the origin, crustal evolution, geological history and stratigraphy of the Moon. Advancements in orbital satellite sensor technology has allowed discriminating the minerals on lunar surface using hyperspectral data. The Moon Mineralogy Mapper (M-3) onboard Chandrayaan-1 provides unprecedented data of lunar surface to study about the Moon. In this paper, the minerals in and around Wegener crater on the lunar highland region was investigated using M-3 data. For this purpose, we used spectral similarity mapping (SSM) and band shape methods to discriminate minerals in this region. In SSM, dimensionality of M-3 data is reduced using Maximum Noise Fraction (MNF) and spectral end-members are extracted through Pixel Purity Index (PPI) algorithm. The mineralogical diversity is classified using Spectral Angle Mapper (SAM) algorithm. In addition, different band shape algorithms such as band curvature (bc), band strength (bs), band tilt (bt) and band ratio (br) at crucial wavelengths are applied to recognise the minerals. Low-Ca pyroxene (LCP) minerals are identified in and around this region. The presence of LCP minerals may be attributed to magmatic differentiation or later stage layered mafic intrusions.
机译:月球表面的矿物制图对于了解月球的起源,地壳演化,地质历史和地层学非常重要。轨道卫星传感器技术的进步已允许使用高光谱数据区分月球表面的矿物。 Chandrayaan-1上的月球矿物制图仪(M-3)提供了空前的月球数据来研究月球。本文利用M-3资料研究了月球高地地区Wegener火山口及其周围的矿物。为此,我们使用光谱相似度映射(SSM)和谱带形状方法来区分该区域的矿物。在SSM中,使用最大噪声分数(MNF)降低M-3数据的维数,并通过像素纯度指数(PPI)算法提取光谱末端成员。矿物多样性使用光谱角映射器(SAM)算法进行分类。此外,在关键波长处使用不同的波段形状算法(例如波段曲率(bc),波段强度(bs),波段倾斜度(bt)和波段比率(br))来识别矿物。在该地区及其周围地区发现了低钙辉石(LCP)矿物。 LCP矿物的存在可能归因于岩浆分异或后期分层的镁铁质侵入岩。

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