首页> 外文期刊>Ore Geology Reviews: Journal for Comprehensive Studies of Ore Genesis and Ore Exploration >Quartzose-mafic spectral feature space model: A methodology for extracting felsic rocks with ASTER thermal infrared radiance data
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Quartzose-mafic spectral feature space model: A methodology for extracting felsic rocks with ASTER thermal infrared radiance data

机译:石英质基性光谱特征空间模型:利用ASTER热红外辐射数据提取长英质岩石的方法

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The original spectral features of felsic rocks are often intermingled with other surface objects, which results in difficulty of detecting felsic rocks using remote sensing techniques. Few felsic rock indices were proposed and visual interpretation with RGB false color composition is widely used to detect felsic rocks. This paper aims to construct a two-dimensional spectral feature space model to extract felsic rocks using ASTER thermal infrared radiance data. The study area is located in northern Qinghai Province, western China with average altitude of approximately 4200 m. A large number of training pixels of mafic-ultramafic rock, quartz-rich rock, felsic rock, carbonate rock and vegetation were selected from the ASTER images as samples of these surface objects. Then we used a quartz-rich rock index (QI,QI = band14 - 0.844 x band12 - 1.897) and a mafic-ultramafic rock index (MI, MI = 0.915 x band10 - band13 + 1.437) to generate a two-dimensional scatter plot. The plot was named after quartzose-mafic spectral feature space (QMFS). The samples show an approximate triangular shape in the QMFS. Mafic-ultramafic rock, quartz-rich rock and carbonate rock are located in separate locations in the three vertex regions, respectively, while felsic rock is located in the central region of the triangle. Next, we calculated a linear belt of silicate rocks in which silicate rocks vary regularly by using a linear regression analysis in the QMFS. Statistical characteristics of the felsic rock samples are analyzed. Afterwards, a polygon which delineates the distribution of felsic rock samples was constructed from the linear belt of silicate rocks. Then we generated a system of inequalities based on the equations of the edges of the polygon. The application of the inequalities to the ASER images shows a good performance of the QMFS for extracting felsic rocks. (C) 2014 Elsevier B.V. All rights reserved.
机译:长英质岩石的原始光谱特征经常与其他地表物体混杂在一起,这导致使用遥感技术检测长英质岩石的困难。提出了很少的长岩岩石指数,具有RGB假色成分的视觉解释被广泛用于检测长岩岩石。本文旨在构建二维光谱特征空间模型,利用ASTER热红外辐射数据提取长英质岩石。研究区域位于中国西部的青海省北部,平均海拔约为4200 m。从ASTER图像中选择了大量的铁素体-超镁铁质岩,富石英岩,长英质岩,碳酸盐岩和植被的训练像素作为这些表面物体的样本。然后我们使用富含石英的岩石指数(QI,QI = band14-0.844 x band12-1.897)和镁铁矿-超拉莫非岩石指数(MI,MI = 0.915 x band10-band13 + 1.437)来生成二维散点图。该图以石英质-镁铁质谱特征空间(QMFS)命名。样本在QMFS中显示出近似三角形的形状。镁铁质-超镁铁质岩,富石英岩和碳酸盐岩分别位于三个顶点区域的不同位置,而长英质岩位于三角形的中心区域。接下来,我们通过使用QMFS中的线性回归分析计算出一条硅酸盐岩线性带,其中硅酸盐岩定期变化。分析了长英质岩石样品的统计特征。然后,从硅酸盐岩石的线性带构造出描绘长英质岩石样品分布的多边形。然后,我们根据多边形的边缘方程生成了一个不等式系统。将不等式应用于ASER图像显示了QMFS在提取长石质岩石方面的良好性能。 (C)2014 Elsevier B.V.保留所有权利。

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