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首页> 外文期刊>Journal of Geographic Information System >Spectral Analysis of Hyperion Data for Mapping the Spatial Variation of in a Part of Latehar & Gumla District, Jharkhand
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Spectral Analysis of Hyperion Data for Mapping the Spatial Variation of in a Part of Latehar & Gumla District, Jharkhand

机译:Hyperion数据的光谱分析,用于绘制贾坎德邦Latehar&Gumla地区的部分空间变化

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Reflectance and emittance spectroscopy in the near-infra red and short-wave infra red offers a rapid, Inexpensive, non-destructive tool for determining the mineralogy of rock and soil samples. Hyperspectral remote sensing has the potential to provide the detailed physico-chemistry (mineralogy, chemistry, morphology) of the earth’s surface. This information is useful for mapping potential host rocks, alteration assemblages and mineral characteristics, in contrast to the older generation of low spectral resolution systems. In the present study EO-1, hyperion data has been used for the delineation of AL+OH minerals. The requirements for extracting bauxites from Hyperion images is to first compensate for atmospheric effects using cross track illumination correction & the log residual calibration model. MNF transformation was applied to reduce the data noise and for extracting the extreme pixels. Some pure pixel end member for the target mineral and the backgrounds were used in this study to account for the spectral angle mapping & matched filtering and the results were validated with the respect of field study.
机译:近红外和短波红外的反射率和发射率光谱法为确定岩石和土壤样品的矿物学提供了一种快速,廉价,无损的工具。高光谱遥感有可能提供地球表面的详细物理化学(矿物学,化学,形态学)。与老一代的低光谱分辨率系统相比,该信息对于绘制潜在的宿主岩,蚀变组合和矿物特征非常有用。在本研究EO-1中,高离子数据已用于描绘AL + OH矿物。从Hyperion图像中提取铝土矿的要求是首先使用交叉轨道照明校正和对数残差校准模型来补偿大气影响。应用MNF变换来减少数据噪声并提取极端像素。在研究中使用了目标矿物和背景的一些纯像素末端成员来解释光谱角映射和匹配滤波,并在现场研究的基础上验证了结果。

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