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Principal Component Analysis for Alteration Mapping: A Case Study, Jinghong Area, Yunnan Province, China

机译:变更映射的主成分分析:以云南景洪地区为例

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Three Principal Component Analysis (PCA) techniques have been applied on TM data for remote detection of alteration zones related to copper mineralization in the Jinghong area; these techniques are selective two bands PCA, selective four bands PCA and standard six bands PCA. The statistical tables of relevant transformations have been used in selecting the appropriate Principal Component (PC) images for the hydrothermal alteration mapping. The results show that these three PCA techniques are considered to be suitable for alteration mapping in the area. With die support of field information, obvious alteration haloes extracted from these techniques could be interpreted as a result of intruded igneous bodies (mostly granitic) in the medium acidic rocks of the Manghuai formation (T2), their presence is controlled by NW-SE major fault structures and it has a positive association with the mineral deposits especially the copper polymetallic occurrences. Comparing the principal component color composite images, which are created by three PCA techniques, a color composite image created by applying selective two bands PCA technique is more reliable to visually interpret the type and the intensity of alteration haloes around the intrusive igneous bodies.
机译:在TM数据上应用了三种主成分分析(PCA)技术,以远程探测景洪地区与铜矿化有关的蚀变带。这些技术是选择性的两个频段PCA,选择性的四个频段PCA和标准的六个频段PCA。相关转换的统计表已用于选择适当的主分量(PC)图像进行水热蚀变绘图。结果表明,这三种PCA技术被认为适合于该地区的蚀变图。在现场信息的支持下,从这些技术中提取的明显的晕圈可以解释为是芒怀组(T2)中酸性岩浆侵入火成岩体(主要是花岗岩)的结果,它们的存在受NW-SE主控。断层结构,它与矿床特别是铜多金属矿床有正相关关系。比较通过三种PC​​A技术创建的主成分彩色合成图像,通过应用选择性两个波段PCA技术创建的彩色合成图像更可靠地从视觉上解释了侵入性火成岩周围变晕的类型和强度。

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