A three-dimensional calculation method of gully volume change based on terrain point cloud

Abstract

The invention discloses a three-dimensional calculation method of gully volume change based on terrain point cloud. The method comprises the following steps: 1. reference point layout and gully point cloud acquisition; 2. splicing of gully point clouds in the gully area to be measured; 3. Registration of the point cloud in the gully area to be measured; 4. Filtering of the point cloud in the gully area to be measured; 5. Downsampling of the point cloud in the gully area to be measured; M3C2 value of the point cloud; 7. Segmentation of the deposition area and erosion area in the laser point cloud of the gully area to be measured; 8. Obtaining the volume change of the gully area to be measured. The method of the invention has simple steps, and obtains the volume change of the deposition area and the volume change of the erosion area in the gully area to be measured, thereby realizing the acquisition of the volume change of the gully area to be measured, and improving the volume of the channel based on the terrain change point cloud. Accuracy of Variation Calculations to Fit Channel Topography.

Description

technical field [0001] The invention belongs to the technical field of gully volume change measurement, in particular to a three-dimensional calculation method of gully volume change based on terrain point clouds. Background technique [0002] In recent years, high-precision terrain information based on real-time dynamic carrier phase differential technology (RTK GPS), photogrammetry, interferometric radar (InSAR), laser radar (LiDAR) and other remote sensing technologies has laid the foundation for rapid and efficient monitoring of terrain changes. High-precision terrain monitoring is mostly carried out through terrain models or point clouds. Compared with the former, the direct comparison of point clouds can avoid the additional errors introduced when the terrain model is generated by interpolation, so it has higher accuracy and is increasingly used in terrain change monitoring. [0003] The terrain change monitoring method based on the point cloud can obtain the real ter...

AI Technical Summary

Problems solved by technology

This leads to the inability to effectively distinguish and express the volume changes of different surface point clouds, which in turn leads to calculation errors in the volume changes of the study area;

[0005] Second, when the terrain is vertical or nearly vertical, the traditional two-dimensional method projects the terrain change point cloud to the grid for volume calculation, but the area of ​​the grid cannot represent the real surface area of ​​the terrain change, resulting in the volume of the study area calculation error;

[0006] Third, the projection of multiple terrain change point clouds to the same grid unit will ignore the specific information of different point cloud changes, so that erosion and deposition features cannot be effectively expressed in two-dimensional grids; and the vertical or approximately vertical surface changes before and after points Cloud subtraction results are difficult to correspond to erosion and deposition features

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