This work integrated selective principal component analysis (SPCA) with a singularity fractal model to map hydrothermal alterations of argillic, phyllic, and propylitic in the north-west of Kerman city in Iran. SPCA results were provided for short wave infrared (SWIR) bands of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor to map phyllic and propylitic alterations. Also, the bands 5–7 were applied to map the argillic alteration zone. SPCA results could present useful information for alteration mapping but it does not show the purest pixels of alteration. Therefore, a fractal model of singularity was applied to highlight the different alteration pixels in the Kerman Cenozoic magmatic arc (KCMA). Thus, the singularity index of different hydrothermal alteration zones was produced. Comparing the obtained results with the field data showed that Kader, Serenu, Meiduk, and Abdar deposits were acceptably identified by alteration mapping. Also, it seems that the singularity index could not discriminate the hydrothermal alterations of argillic and phyllic. The same spectral signature of kaolinite and muscovite minerals is the main reason for misclassifications.

中文翻译：

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使用基于 ASTER 数据的 PCA 图像的奇异性映射识别热液变化

这项工作将选择性主成分分析 (SPCA) 与奇点分形模型相结合，以绘制伊朗克尔曼市西北部的泥质、叶状和青质岩的热液蚀变图。为高级星载热发射和反射辐射计 (ASTER) 传感器的短波红外 (SWIR) 波段提供了 SPCA 结果，以绘制 phyllic 和 plaitic 变化图。此外，波段 5-7 用于绘制泥质蚀变带。SPCA 结果可以为变更映射提供有用的信息，但它不会显示最纯粹的变更像素。因此，应用奇异点的分形模型来突出克尔曼新生代岩浆弧（KCMA）中的不同蚀变像素。由此产生了不同热液蚀变带的奇异性指数。将获得的结果与现场数据进行比较表明，通过蚀变绘图确定了 Kader、Serenu、Meiduk 和 Abdar 矿床是可以接受的。此外，奇异性指数似乎无法区分泥质和叶质的热液蚀变。高岭石和白云母矿物的相同光谱特征是错误分类的主要原因。