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大气参数查找是遥感图像大气校正中一个重要的步骤。本文针对当前多数大气参数查找表普适性不强、查找表数据存储空间巨大、具体实施步骤不详细的问题,建立了一个通用化的多维大气参数查找表,其光谱分辨率为1 nm,并适用于多种遥感传感器。本文采用二进制文件方式存储查找表,并研究采用多维拉格朗日和多维反距离加权插值方法对输入参数进行插值。结果表明以二进制文件方式存储查找表,不但可以最大化地减少磁盘存储空间,还可以实现查找表数据快速随机读取;相对于多维反距离加权插值方法,多维拉格朗日插值方法的速度更快,精度更高,与MODTRAN4.0模型计算结果(真值)相比,它的误差仅为±1.0%左右。
Atmospheric parameter search is an important step in the atmospheric correction of remote sensing images. In this paper, a generalized multi-dimensional atmospheric parameter lookup table is established, which has a spectral resolution of 1 nm and is suitable for the problem that most atmospheric parameter look-up tables are not universally strong and the size of the look-up table data storage space is huge and the implementation steps are not detailed. For a variety of remote sensing sensors. In this paper, a binary file is used to store the look-up table and the interpolation of the input parameters is studied using multi-dimensional Lagrange and multidimensional inverse distance weighted interpolation. The results show that using binary file to store the look-up table not only can reduce the storage space of the disk, but also can realize the random access of the look-up table data. Compared with multidimensional inverse distance weighted interpolation method, the multidimensional Lagrange interpolation method Faster and more accurate. Compared with the result of MODTRAN 4.0 model (true value), its error is only ± 1.0%.