Three-dimensional gully volume change calculation method based on terrain point cloud

Abstract

The invention discloses a three-dimensional gully volume change calculation method based on terrain point cloud. The method comprises the following steps: 1, arranging reference points and acquiring gully point clouds; 2, splicing gully point clouds of a gully area to be measured; 3, registering point clouds of a gully area to be measured; 4, filtering the point cloud of the gully area to be measured; 5, down-sampling the point cloud of the gully area to be measured; 6, acquiring an M3C2 value of the laser point cloud of the latter stage relative to the laser point cloud of the former stage; 7, segmenting a deposition area and an erosion area in the laser point cloud of the gully area to be measured; and 8, obtaining the volume variation of the gully area to be measured. The method is simple in step, the volume variation of the sedimentary area and the volume variation of the erosion area in the to-be-measured gully area are obtained, so that the volume variation of the to-be-measured gully area is obtained, the accuracy of channel volume variation calculation based on the topographic change point cloud is improved, and the channel topography is adapted.

Description

Technical field [0001] The invention belongs to the field of gully volume change measurement, in particular, to a three-dimensional calculation method based on a gully volume change based on a terrain point cloud. Background technique [0002] In recent years, based on real-time dynamic carrier phase differential technology (RTK GPS), photographic measurement, interference radar (INSAR), laser radar (Lidar), the rapid and efficient monitoring of terrain changes is based on the rapid and efficient monitoring of terrain changes. High precision terrain monitoring is mostly used by terrain models or point clouds. Compared to the former, the direct contrast of point clouds avoids additional errors introduced when interpolation generates the terrain model, and therefore has higher precision, and the application in terrain changes is increasing. [0003] Topographic change monitoring method based on point cloud can obtain the acquisition of the topographic change to obtain a real terrai...

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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