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目前卫星高光谱数据幅宽小,难以进行大面积矿物填图应用.本文探讨了基于多光谱图像光谱分辨率增强方法(spectral resolution enhancement method,SREM)融合算法,将Hyperion窄幅高光谱和先进星载热发射和反射辐射仪(advanced spaceborne thermal emission and reflection radiometer,ASTER)宽幅多光谱数据进行融合,获得宽幅高光谱数据,从而进行矿物蚀变信息提取的方法和流程.结果表明:(1)原始ASTER数据仅能识别出Al-OH基团,Mg-OH基团和Fe3+离子基团3种矿物,SREM方法能够识别出高岭石、伊利石、绢云母、绿泥石和黄钾铁矾5种蚀变矿物;(2)融合图像矿物提取结果与原始ASTER和Hyperion图像的相对精度分别达到90.56%和92.85%;(3)其中绢云母、伊利石、高岭石与Al-OH基团,黄钾铁矾与Fe3+离子,绿泥石与Mg-OH基团出露区域基本一致.SREM融合数据具有幅宽大和光谱分辨率高的特点,提高了矿物蚀变信息解译精度,该方法对大面积矿物填图具有示范作用.
At present, satellite hyperspectral data has a small breadth and is difficult to apply for large-area mineral mapping. In this paper, the spectral resolution enhancement method (SREM) (ASTER) and multi-spectral data fusion to obtain wide-band hyperspectral data, the method and process of extracting mineral alteration information were obtained.The results showed that: (1 ) The original ASTER data only identifies three minerals, Al-OH group, Mg-OH group and Fe3 + group. The SREM method can identify kaolinite, illite, sericite, chlorite and jarosite 5 kinds of alteration minerals; (2) The relative accuracies of the extracted images of the fused images and the original ASTER and Hyperion images are respectively 90.56% and 92.85%; (3) the relative accuracies of sericite, illite, kaolinite and Al-OH groups , Jarosite and Fe3 + ions, chlorite and Mg-OH groups are basically the same.SREM fusion data has the characteristics of large width and high spectral resolution, which improves the accuracy of mineral alteration information interpretation, Method has large effects on mineral exemplary mapping.