Abstract
The spectral characteristics are diverse to different mineral substance, therefor the alteration information of remote sensing image is related on the geologic structure features of mineral substance. Extraction of alteration information from remote sensing image, which are contribute to confirm what are consist of geological structure and metallogenic material on diggings area, how to extract the alteration information is all-important to prospecting. This paper proposed a method to extract the alteration information of uranium mine, in our method, the geological structure of uranium and remote data were analyzed in detail, then using band ratio method and principal component analysis(PCA) to TM remote sensing image, which in order to eliminate the negative effect as the alteration information is hybrid by the vegetation index, the final enhancing the alteration information of enhydrite on remote sensing image. Our experiment show, the alteration abnormal on northwestward porphyroclastic lava and in the north of the western in JiangXi Provence XiangShan uranium ore field were caused by hydrothermal water mica, which have important implications for uranium prospecting.
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Jiang, L., Yi, Y., You, S., Wang, Z., He, L. (2013). A Method of Alteration Information Extracted of Uranium Mine Base on TM Remote Sensing Image. In: Huang, DS., Bevilacqua, V., Figueroa, J.C., Premaratne, P. (eds) Intelligent Computing Theories. ICIC 2013. Lecture Notes in Computer Science, vol 7995. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39479-9_60
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DOI: https://doi.org/10.1007/978-3-642-39479-9_60
Publisher Name: Springer, Berlin, Heidelberg
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