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ATMOSPHERIC CORRECTION OVER CASE 2 WATERS WITH AN ITERATIVE FITTING ALGORITHM

机译:用迭代拟合算法对案例2的水域进行大气校正

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A modular atmospheric correction algorithm is proposed that uses atmospheric and water contents models to predict the visible and near-infrared reflectances observed by a satellite over water. These predicted values are compared with the satellite reflectances at each pixel, and the model parameters changed iteratively with an error minimization algorithm. The default atmospheric model uses single-scattering theory with a correction for multiple scattering based on lookup tables. With this model we used parameters of the proportions of three tropospheric aerosol types. For the default water content model we need the parameters of the concentrations of chlorophyll, inorganic sediment, and gelbstoff. The diffuse attenuation and backscatter coefficients attributed to these constituents are calculated and used to derive the water-leaving reflectance. Products include water-leaving reflectance, concentrations of water constituents, and aerosol optical depth and type. We demonstrate the application of the method to sea-viewing wide field-of-view sensor by using model data. (C) 1996 Optical Society of America [References: 28]
机译:提出了一种模块化的大气校正算法,该算法使用大气和水含量模型来预测卫星在水上观测到的可见和近红外反射率。将这些预测值与每个像素处的卫星反射率进行比较,并使用误差最小化算法迭代更改模型参数。默认的大气模型使用单散射理论,并基于查找表对多次散射进行了校正。在这个模型中,我们使用了三种对流层气溶胶比例的参数。对于默认的水分含量模型,我们需要叶绿素,无机沉积物和gelbstoff的浓度参数。计算归因于这些成分的漫反射衰减和反向散射系数,并将其用于得出出水反射率。产品包括水反射率,水成分的浓度以及气溶胶的光学深度和类型。我们通过使用模型数据演示了该方法在海景宽视野传感器中的应用。 (C)1996年美国眼镜学会[参考文献:28]

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