In this paper, the author USES fast spline function curved surface interpolation method which is derived by the author to accomplish two dimensional discrete data gridding calculation.
本文采用首次提出的快速样条函数插值方法对二维离散数据进行曲面插值，进而作网格化计算。
Then the meteorological information was interpolated to each hour using the spline interpolation to match up the remote sensing data.
然后，将气象资料用样条插值法在时间上进行插值，得到每小时值，以便与卫星遥感数据在时间上匹配。
Using acoustic equation, the paper conducts spline interpolation for step surface data and results in quadrilateral grid partition coincident with relief surface.
本文利用声波方程，对阶梯状地表数据进行样条插值处理，得到了与起伏地表比较吻合的四边形网格剖分。
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