基于Hyperion数据的铜矿信息直接和间接提取方法研究

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。

Research on Extracting Directly and Indirectly Copper Mineral Information Using Hyperion Data

This paper aims to extracting the copper mine information using Hyperion data from areas with different land cover condition.The L1 level Hyperion data is first preprocessed including band selection,destriping,atmosphere correction and geometric correction.Then different information extraction methods were adopted according to the different vegetation cover conditions.Spectral angle mapping (SAM) method is applied directly in the open canopy area.In vegetated area,we used a vegetation physiology abnormal indicator,which is calculated by hyperspectral vegetation index,to indicate accumulations of copper ion,then to identify copper mine indirectly.The experimental result shows that using complementary information from these two methods synthetically could benefit to extract the copper mine information in the area even covered by complex vegetation distribution.