Water area leveling processing method during manufacturing of digital elevation model and computer equipment

Abstract

The invention relates to a water area leveling processing method and device during manufacturing of a digital elevation model, computer equipment and a storage medium. The method comprises the steps of acquiring laser point clouds and orthoimages, classifying the laser point clouds according to the earth surface and the water body to acquire classified earth surface laser point clouds; constructing an irregular triangulation network based on the surface laser point cloud to output a first digital elevation model in batches, and converting the first digital elevation model into a first elevation grid point cloud; constructing an irregular triangulation network batch output digital surface model based on the classified laser point clouds, and processing the digital surface model to obtain awater body topic polygon; and processing based on the classified laser point cloud, water body thematic polygon and first elevation grid point cloud to obtain a second digital elevation model which isoutput in batches. The DEM production efficiency based on the airborne laser point cloud can be greatly improved on the premise of ensuring the DEM production quality based on the airborne laser point cloud.

Description

technical field [0001] The present application relates to the field of basic surveying and mapping, in particular to a method, device, computer equipment and storage medium for leveling water areas when making a digital elevation model. Background technique [0002] In the field of basic surveying and mapping, point clouds based on airborne LiDAR (radar) are generally used for DEM (Digital Elevation Model) production, in which the water leveling process has a large workload and high precision requirements, which is a major problem that plagues data processing . [0003] The traditional water leveling method is to draw the water line by referring to DOM (Digital Orthophoto) or DSM (Digital Surface Model), and then assign the elevation of the water line one by one based on the elevation of the laser point cloud at the water line. And carry out the minimum value normalization process on the elevation value of the water line, and finally use the laser point cloud as the fault l...

AI Technical Summary

Problems solved by technology

[0004] The manual workload of this method is very large, especially for areas with humid climate and rich surface water resources (rivers, lakes, reservoirs, ponds, etc.), the elevation of the water line depends on manual drawing and selection points, and it is easy to miss individual water bodies. Multiple operators are doing the vector work on the waterline, and the edge joining work is cumbersome

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