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Estimating radiological background using imaging spectroscopy

机译：使用成像光谱估计放射本底

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Optical imaging spectroscopy is investigated as a method to estimate radiological background by spectral identification of soils, sediments, rocks, minerals and building materials derived from natural materials and assigning tabulated radiological emission values to these materials. Radiological airborne surveys are undertaken by local, state and federal agencies to identify the presence of radiological materials out of regulatory compliance. Detection performance in such surveys is determined by (among other factors) the uncertainty in the radiation background; increased knowledge of the expected radiation background will improve the ability to detect low-activity radiological materials. Radiological background due to naturally occurring radiological materials (NORM) can be estimated by reference to previous survey results, use of global ~(40)K, ~(238)U, and ~(232)Th (KUT) values, reference to existing USGS radiation background maps, or by a moving average of the data as it is acquired. Each of these methods has its drawbacks: previous survey results may not include recent changes, the global average provides only a zero-order estimate, the USGS background radiation map resolutions are coarse and are accurate only to 1 km - 25 km sampling intervals depending on locale, and a moving average may essentially low pass filter the data to obscure small changes in radiation counts. Imaging spectroscopy from airborne or spaceborne platforms can offer higher resolution identification of materials and background, as well as provide imaging context information. AVIRIS hyperspectral image data is analyzed using commercial exploitation software to determine the usefulness of imaging spectroscopy to identify qualitative radiological background emissions when compared to airborne radiological survey data.
机译：光学成像光谱学是一种通过对土壤，沉积物，岩石，矿物和天然材料衍生的建筑材料进行光谱识别并为这些材料分配列表放射值来估计放射背景的方法。放射性航空调查由地方，州和联邦机构进行，以发现不符合法规要求的放射性物质。在此类调查中，检测性能取决于（除其他因素外）辐射背景的不确定性；增加对预期辐射背景的了解将提高检测低活度放射性物质的能力。可以通过参考先前的调查结果，使用整体〜（40）K，〜（238）U和〜（232）Th（KUT）值，并参考现有的估算结果来估算由于自然存在的放射性物质（NORM）而导致的放射本底USGS辐射背景图，或通过获取数据的移动平均值。每一种方法都有其缺点：以前的调查结果可能不包括最近的变化，全球平均值仅提供零级估计，USGS背景辐射图分辨率较粗糙，并且仅在1 km-25 km的采样间隔内准确，具体取决于区域设置和移动平均值可能会对数据进行低通滤波，以掩盖辐射计数的细微变化。机载或航天平台的成像光谱可以提供对材料和背景的更高分辨率识别，并提供成像上下文信息。 AVIRIS高光谱图像数据是使用商业开发软件进行分析的，以确定与航空放射成像调查数据相比，成像光谱学用于识别定性放射本底发射的有用性。

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