City-level mass point cloud coordinate conversion method based on heterogeneous parallel computing

The invention provides a city-level mass point cloud coordinate conversion method based on heterogeneous parallel computing. The city-level mass point cloud coordinate conversion method comprises the following steps: S1, scanning point cloud files to be converted and adding the point cloud files to a list to be converted; S2, reading the point cloud files to be converted into a computer host memory; S3, self-adaptively selecting a plane and elevation conversion parameter model according to the point cloud coordinate system and the minimum enclosing rectangle, and dividing a point cloud into a plurality of first point cloud subsets; S4, decomposing the first point cloud subsets into a plurality of second point cloud subsets according to the data size of the point cloud data and the computing environment capability, and sequentially loading the second point cloud subsets into a GPU global memory; S5, calling a CUDA kernel function to carry out plane and elevation conversion processing on the second point cloud