Water area leveling treatment method and computer equipment when making digital elevation model

Abstract

The present application relates to a water area leveling method, device, computer equipment and storage medium when making a digital elevation model. The method includes: acquiring laser point clouds and orthophoto images, classifying the laser point clouds according to the surface and water bodies, and obtaining the classified surface laser point clouds; constructing an irregular triangulation network based on the surface laser point clouds, and outputting the first digital elevation model in batches , convert the first digital elevation model into the first elevation raster point cloud; build an irregular triangulation network based on the classified laser point cloud to output the digital surface model in batches, and process the digital surface model to obtain the water body thematic polygon; based on the classified The laser point cloud, the water body thematic polygon and the first elevation raster point cloud are processed to obtain the second digital elevation model output in batches. Adopting this method can greatly improve the efficiency of producing DEM based on the airborne laser point cloud under the premise of ensuring the quality of the DEM produced 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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