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首页> 外文期刊>Arabian journal of geosciences >Ore mineral discrimination using hyperspectral remote sensing-a field-based spectral analysis
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Ore mineral discrimination using hyperspectral remote sensing-a field-based spectral analysis

机译:使用高光谱遥感进行矿石矿物判别-基于现场的光谱分析

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摘要

Advanced Spaceborne Thermal Emission and Reflection Radiometer data of Salem District and field-based spectral observations using SVC HR 1024 spectral radiometer is used to make a clear discrimination of ore mineral deposits in parts of Salem District of Tamil Nadu. Spectral analyses, one of the most advanced techniques, are used to discriminate the magnesite deposits in the central northern part of Salem District. Different spectral processes were used in ore discrimination, which include the following: (1) atmospheric correction (FLAASH), (2) minimum noise fraction and (3) pixel purity index preparation which helps in discrimination by matching these purest pixels with field spectral observations. Spectral angle mapper method is used to produce score between 0 and 1, where the value of 1 makes a perfect match showing the exact ore deposit in the study area. Using these techniques, we were able to find two ore deposits in the study area, i.e. magnesite and lateritic bauxite, recording different scores related to their abundance.
机译:萨勒姆地区的先进星载热发射和反射辐射仪数据以及使用SVC HR 1024光谱辐射仪进行的基于实地的光谱观测,可以清楚地区分泰米尔纳德邦塞勒姆地区的矿石矿床。光谱分析是最先进的技术之一,用于区分塞勒姆地区中北部的菱镁矿矿床。在矿石鉴别中使用了不同的光谱过程,其中包括:(1)大气校正(FLAASH),(2)最小噪声分数和(3)像素纯度指数准备工作,这有助于通过将这些最纯像素与现场光谱观测值进行匹配来进行鉴别。谱角映射器方法用于产生0到1之间的分数,其中1的值可以完美地显示研究区域内的确切矿床。使用这些技术,我们能够在研究区域中找到两个矿床,即菱镁矿和红土铝土矿,记录了与它们的丰度相关的不同分数。

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