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New approach to atmospheric correction of satellite ocean color data

机译:卫星海洋颜色数据大气校正的新方法

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Requirements on accuracy of the atmospheric correction of satellite ocean color data are rather high, and so far attempts to solve this problem as needed have not been quite successful, especially at high latitudes and in coastal waters. New approach to the atmospheric correction problem consists in simultaneous retrieval of the unknown aerosol and ocean reflectances ρα(λi) and ρw(λi) from the top-of-the-atmosphere reflectance ρt(λi) with use of all spectral channels of a satellite sensor in infrared and visible ranges. The approach is based on parameterization of the spectral behavior of ρα(λi) and ρw(λi) with help of several basic functions. In this way the problem reduces to determination of several weight coefficients at these basic functions. This allows us to cut drastically the size and number of required lookup tables. The inversion problem is solved by a least square method with inequality constraints. It is shown that the new algorithm results in better agreement with in situ measured ρw(λi), compared with the standard SeaWiFS algorithm, in Case 2 waters.
机译:关于卫星海洋颜色数据的大气修正精度的要求相当高,因此根据需要解决这个问题的尝试并不相当成功,特别是在高纬度和沿海水域。大气校正问题的新方法在于,通过使用卫星的所有光谱通道,同时检索来自大气层的顶层反射率ρt(λi)的未知气溶胶和海洋反射ρα(λi)和ρw(λi)传感器在红外和可见范围内。该方法基于ρα(λi)和ρw(λi)的参数化,以及若干基本功能的帮助。以这种方式,问题减少了这些基本功能的几个权重系数的确定。这使我们可以彻底地切割所需查找表的大小和数量。反演问题由具有不等式约束的最小二乘法解决。结果表明,与标准SeaWIFS算法相比,新算法与原位测量ρW(λi)有更好的同意,例如,在2个水中。

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