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Study on the Spectral Analysis Approaches to In-situ Leachable Sandstone-Type Uranium Deposits

机译:原位可浸泡砂岩型铀矿床谱分析方法研究

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With the rapid development of the atomic energy, the exploration of economic uranium deposits have been greatly promoted. Hyperspectral Remote Sensing (HRS) as one of the forefront fields of optic remote sensing provides the new tool for the swift exploration and evaluation of in-situ leachable sandstone-type uranium deposits. This article adopts the Modified Guassian Model (MGM) to study the diagnosable spectral character and quantitatively analyze and extract the absorption spectral feature of sandstone-type uranium deposits in the north china. Results show the simulated curve is very fit to the field spectrum and the absorption spectral feature can be quantitatively expressed by defined functions. Furthermore, The authors develop the Vegetation Red Edge Parameter (VREP) model to analyze the spectral variance rule of vegetation between uranium deposits area and background site. Studies indicate that the phenomena of vegetation stress are existed in uranium deposits area, and the growth status of vegetation is influenced by radioactivate nuclide. All those results and experiences provide the new remote sensing approaches to the prospect and evaluation of uranium resources.
机译:随着原子能的快速发展,经济铀矿床的探索得到了极大的促进。高光谱遥感(HRS)作为光学遥感的最前沿领域之一,提供了SWIFT探索和评估原位可脱离砂岩型铀矿床的新工具。本文采用改进的吉斯模型(MGM)来研究诊断的光谱性质,并定量分析南方砂岩型铀矿床的吸收光谱特征。结果显示模拟曲线非常适合场频谱,并且可以通过定义的功能定量表达吸收光谱特征。此外,作者开发了植被红边参数(Vrep)模型,以分析铀矿区和背景现场之间植被的光谱差异规则。研究表明,植被胁迫的现象存在于铀沉积物面积中,植被的生长状态受放射性核素的影响。所有这些结果和经验都为铀资源的前景和评估提供了新的遥感方法。

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