To solve the problems of small area, slow calculation speed and low precision in the projection transformation algorithm of raster data, the idea of using Kriging interpolation approximate grid algorithm for raster data projection transformation is proposed. Through the experimental results of point-to-point transformation and Kriging interpolation approximate grid algorithm transformation under the same conditions, it can be seen that for different projection types under the same limit conditions, Kriging interpolation approximate grid algorithm can ensure that the raster data projection error is always within the given projection limit. With the same number of points, the Kriging interpolation approximate grid algorithm is faster and more efficient than the point-to-point projection algorithm. Under the same pixel condition, the Kriging interpolation approximate grid algorithm is faster, more accurate and more effective than the point-to-point projection algorithm.

为了解决栅格数据投影变换算法中面积小，计算速度慢，精度低的问题，提出了采用克里格插值近似网格算法进行栅格数据投影变换的思想。通过在相同条件下进行点到点变换和Kriging插值近似网格算法变换的实验结果可以看出，对于在相同极限条件下的不同投影类型，Kriging插值近似网格算法可以确保栅格数据投影。误差始终在给定的投影极限内。在点数相同的情况下，克里格插值近似网格算法比点对点投影算法更快，更高效。在相同像素条件下，