Parallel rarefying method of multi-beam bathymetric discrete point cloud data

The invention relates to a parallel rarefying method of multi-beam bathymetric discrete point cloud data. The provided method aims at being capable of removing appreciable-error data, reasonably decreasing redundancy and treating mass data to be lightweight-class data on the premises of reserving characteristic data and guaranteeing imaging quality. According to a technical scheme, the parallel rarefying method of the multi-beam bathymetric discrete point cloud data orderly comprises the following steps of (1), dividing grids for the point cloud data according to a plane coordinate, using the grids as units serving as parallel calculating units; (2), calculating the normal distribution of multi-beam bathymetric point cloud data in a single grid, determining a confidence interval, and canceling appreciable-error point data; (3), layering water depth data in all bathymetric point data in the single grid according to a fixed difference value, randomly sampling at least one of bathymetric points of each layer, an