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An automatic process for the atmospheric correction of image data from sensors in the spectral range 400 to 1000nm
An automatic process for the atmospheric correction of image data from sensors in the spectral range 400 to 1000nm
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机译:在400至1000nm光谱范围内对来自传感器的图像数据进行大气校正的自动过程
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摘要
An automatic process for the atmospheric correction of image data from sensors in the spectral range of 400 - 1000 nm, in which the following steps can be carried out:a) it is a masking of the dark reference surfaces in the image carried out with a combination of four threshold values and the following conditions rvi ≧ 3 and ρnir ≥ 0,10 and ρnir ≤ 0,25 and 0 ρred ≤ 0,04,(p - values from gl.3, set c of constraint - conditions) with rvi of the ratio - vegetation index is referred to, for which the following applies: rvi = ρnir/ρred, with red a red spectral channel (650 nm) and with nir a near-infrared spectral channel (850 nm) are referred to, and ρred and ρnir under the assumption of a given start - visual range (vis = 23 km) are calculated.b) it is the visual range vis with three or more vis - support points iterated, wherein as a result, at each iteration a certain percentage p of reference pixels as a proportion of the total number of the image pixels is calculated and due to the dependence of the..
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机译:在400-1000 nm光谱范围内对来自传感器的图像数据进行大气校正的自动过程,可以执行以下步骤:a)遮盖图像中的深色参考表面,用四个阈值和以下条件rvi≥3且ρnir≥0,10和ρnir≤0,25且0 <ρred≤0,04的组合,(p-来自gl.3的值,设置约束条件c)比率rvi是指植被指数,适用于以下情况:rvi =ρ nir Sub> /ρ red Sub>,红色为红色光谱通道(650 nm),使用nir近红外光谱通道(850 nm),并且在给定的起始-可视范围的假设下,ρ red Sub>和ρ nir Sub> b)它是具有三个或更多vis-support点被迭代的可视范围vis,其中结果是,在每次迭代中,一定百分比的参考像素占像素总数的比例。图像像素是根据像素的依赖关系而计算的。
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