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针对不同的地表覆盖条件,研究基于Hyperion星载高光谱数据的砂页岩型铜矿信息提取方法。首先对Hyperion L1级数据进行波段筛选、坏线修复、大气纠正和几何纠正等预处理,然后分别针对不同的植被覆盖情况使用不同的信息提取方法。在岩石裸露区,直接使用光谱角制图法;在植被覆盖区,使用铜金属离子的积累导致的植被生理异常作为间接标志来识别铜矿信息,生理异常使用高光谱植被指数来计算。结果表明,综合使用这两种方法的互补信息能够便于提取复杂地表覆盖情况下的铜矿信息。
According to different surface coverage conditions, sand shale-type copper mine information extraction method based on Hyperion spaceborne hyperspectral data was studied. Firstly, Hyperion L1 data is preprocessed by band selection, bad line restoration, atmospheric correction and geometric correction, and then different information extraction methods are used for different vegetation coverage. Spectral angle mapping is used directly in the exposed area of the rock; in the vegetation coverage area, the physiological abnormalities of vegetation caused by the accumulation of copper metal ions are used as indirect markers to identify the information of copper deposits, and the physiological abnormalities are calculated using the hyperspectral vegetation index. The results show that the comprehensive use of the complementary information of these two methods can facilitate the extraction of copper mine information in the case of complex land cover.