张登荣,韩贤华,吴文渊,路海峰,王海庆,王跃峰.基于多源遥感数据的变质岩区岩性识别研究[J].矿产勘查,2015,6(5):554-563 |
基于多源遥感数据的变质岩区岩性识别研究 |
Lithological recognition in metamorphic rock area based on multi-source remote sensing data |
投稿时间:2015-05-26 |
DOI: |
中文关键词: ASTER WorldView-2 比值法 主成分分析 变质岩岩性增强 雅满苏 新疆 |
英文关键词: ASTER, WorldView-2 data, band ratio, PCA, metamorphic rocks, Yamansu, Xinjiang |
基金项目:中国地质调查局项目(编号:12120113100200)和浙江省自然科学基金项目(编号:LQ13D0002)联合资助。 |
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中文摘要: |
新疆雅满苏地区铁、铜矿资源十分丰富,区内有雅满苏铁矿、天湖铁矿、黑峰山铁矿、沙泉子铜铁矿等。区内变质岩岩性与成矿相关。采用多源遥感数据信息提取方法,利用ASTER与WorldView-2遥感协同影像数据,结合Fieldspec 3地物波谱仪实测的光谱曲线,选取主要岩性的光谱吸收特征对应的影像波段,并通过波段比值法与主成分分析法等,增强区域内的主要岩性特征。最后选取不同波段比值与主成分分析分量因子,即WorldView-2 的波段4/8,ASTER的波段7/6,ASTER 波段10、11、12、13主成分分析的第二分量因子PC2,组成假彩色合成影像,增强区域的变质岩岩性特征,使得岩性与地质体边界更加清晰。与研究区已有的地质资料、野外地质调查结果对比,分类结果匹配较好,能够为变质岩区域的遥感地质调查与找矿工作提供一定的参考作用。 |
英文摘要: |
The iron and copper resources are very rich in Yamansu area, Xinjiang, such as large sized Yamansu iron deposit, Tianhu iron deposit, Heifengshan iron deposit and Shaquanzi iron-copper deposit etc. The iron and copper mineralization is related to metamorphic rocks in Yamansu area. The main lithologic features in the study area were enhanced by band ratio method and principal component analysis (PCA), etc. through extracting remote sensing data, using coordinative ASTER and WorldView 2 remote sensing image data, in combination with the spectral curve measured by Fieldspec 3 feature spectrum instrument, selecting corresponding image bands of spectral absorption characteristics of the main lithology. Finally different band ratios and principal component analysis component factors will be chosen to enhance the lithologic features, i.e., WorldView - 2 band 4/8 taken as Red, ASTER band 7/6 as Green, and the second component factor PC2 of ASTER bands (10,1, 12,3) based on principal component analysis, to combine the false color composite image for enhancing the regional metamorphic lithology features, the enhanced lithological and geological boundary are more clear. Comparing with existing geological data and the field geological verification, the classification results of metamorphic rocks are consistent very well, and therefore, the study result will provide certain references for geological survey and prospecting work by remote sensing technology. |
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