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Integrated visible and near-infrared, shortwave infrared, and longwave infrared full-range hyperspectral data analysis for geologic mapping

机译:集成的可见光和近红外,短波红外和长波红外全光谱高光谱数据分析,可进行地质测绘

摘要

Airborne visible/infrared imaging spectrometer (AVIRIS) and spatially coincidenthyperspectral thermal emission spectrometer (HyTES) data were used to map geology and alterationfor a site in northern Death Valley, California and Nevada. AVIRIS with 224 bands from 0.4to 2.5 μm were converted to reflectance. HyTES data with 256 bands covering 8 to 12 μm wereconverted to emissivity. Two approaches were investigated for integration of the datasets for fullspectrum analysis. A combined (integrated) bands method utilized 332 spectral bands spanningboth datasets. Spectral endmembers were extracted, and the predominant material at each pixelwas mapped for the full spectral range using partial unmixing. This approach separated a varietyof materials, but it was difficult to directly relate mapping results to surface properties. Thesecond method used visible to near-infrared, shortwave infrared, and longwave infrared dataindependently to determine and map key endmembers in each spectral range. AVIRIS directlymapped a variety of specific minerals, while HyTES separated and mapped several igneous rockphases. Individual mapping results were then combined using geologically directed logical operators.The full-range results illustrate that integrated analysis provides advantages over use of justone spectral range, leading to improved understanding of the distribution of geologic units andalteration.
机译:机载可见/红外成像光谱仪(AVIRIS)和空间重合超光谱热发射光谱仪(HyTES)数据用于绘制北部死亡谷,加利福尼亚州和内华达州某地的地质图和蚀变图。将224个0.4至2.5μm波段的AVIRIS转换为反射率。具有覆盖8至12μm的256条带的HyTES数据已转换为发射率。研究了两种方法来集成数据集以进行全光谱分析。组合(集成)波段方法利用了跨越两个数据集的332个光谱波段。提取光谱末端成员,并使用部分分解将每个像素的主要材料映射到整个光谱范围。这种方法分离了多种材料,但是很难将映射结果直接与表面特性相关联。第二种方法独立使用可见光到近红外,短波红外和长波红外数据来确定和映射每个光谱范围内的关键端成员。 AVIRIS直接映射了各种特定的矿物,而HyTES分离并绘制了多个火成岩相。然后,使用地质定向逻辑算子将各个贴图结果进行合并。全范围的结果表明,与仅使用一个光谱范围相比,集成分析提供了优势,从而使人们对地质单位的分布和变化有了更深入的了解。

著录项

  • 作者

    Kruse Fred A.;

  • 作者单位
  • 年度 2015
  • 总页数
  • 原文格式 PDF
  • 正文语种
  • 中图分类
  • 入库时间 2022-08-20 20:55:53

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