Atmospheric parameters are crucial to the atmospheric correction of remote sensing images. However

the universality of most atmospheric parameters Look-Up Table（ LUT） at present is not strong enough

e. g.

the LUT data storage space is huge and the specific implementation steps are not clear. We build a universal multidimensional atmospheric parameters LUT which not only has the 1 nm spectral resolution but also is suitable for multiple remote sensing sensors. The LUT is stored as binary data and adopted the multidimensional Lagrange and multidimensional inverse distance interpolation method to input parameters. The results of the study show that with binary data stored look-up table can both reduce disk storage space to the hilt and achieve fast look-up table data random read. Relative to the multidimensional inverse distance interpolation method

multidimensional Lagrange interpolation method is faster

of higher precision with error about 1. 0%.