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通过对Landsat-8OLI的多光谱波段与GF-1PMS的全色波段进行数据融合,并基于融合后的数据,利用主成分分析法对研究区的铁染蚀变信息进行了提取。为了验证融合后的数据在矿化信息提取中的优势,将数据融合前后分别提取的铁染蚀变信息结果进行了对比分析。结果表明:基于融合后的数据比不进行融合的数据能够提取更丰富的蚀变信息,尤其是对微小特征的提取效果更好。
Based on the data after fusion, the multi-spectral bands of Landsat-8OLI and the panchromatic bands of GF-1PMS were fused. Based on the fused data, principal component analysis was used to extract iron-contaminated alteration information in the study area. In order to verify the advantages of the fused data in the mineralization information extraction, the results of iron-dye alteration information extracted before and after the data fusion were compared and analyzed. The results show that richer alteration information can be extracted based on the fused data than the non-fused data, especially for the extraction of small features.