Terrain-adaptive airborne LiDAR point cloud regularization thin plate spline interpolation filtering method

Abstract

The invention discloses a terrain-adaptive airborne LiDAR point cloud regularization thin plate spline interpolation filtering method. The method comprises the steps of 1, inputting original airbornelaser radar three-dimensional point cloud data; 2, denoising the three-dimensional point cloud data by adopting a method of combining a kd tree and an elevation histogram; 3, for the denoised three-dimensional point cloud data, using a two-dimensional region growing method to obtain an interpolation reference point; 4, optimizing the interpolation reference points based on DSM line features; and 5, for the optimized interpolation reference point, obtaining the elevation fluctuation degree of the foot point of the local area based on the relative variation coefficient, carrying out thin-plate spline interpolation of the adaptive terrain, obtaining an approximation model of the local terrain surface as a classification surface of filtering, segmenting the ground point and the non-ground point, and outputting the filtered point cloud. The filtering method provided by the invention is less affected by noise, keeps better detail features of the terrain, and can keep a more stable filteringeffect under various terrain data.

Description

technical field [0001] The invention relates to the field of surveying and mapping science and technology, in particular to a terrain-adaptive airborne LiDAR point cloud regularized thin-plate spline interpolation filtering method. Background technique [0002] As a new means of surface information acquisition, airborne lidar has the advantages of all-weather, strong penetrability, and rapid acquisition of three-dimensional geometric information of the surface compared with traditional photogrammetry methods. However, the obtained point cloud data is only a discretized representation of surface space information, and lacks semantic information (category information of ground objects corresponding to laser footpoints), which increases the difficulty for subsequent applications. Therefore, the filtering of point cloud data is an important step in the application of point cloud comprehensive processing. [0003] The existing airborne lidar point cloud filtering methods are div...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a terrain-adaptive airborne LiDAR point cloud regularization thin-plate spline interpolation filtering method for the defects in the prior art, which solves the terrain problems existing in the airborne LiDAR point cloud filtering. Adaptive and Parameter Adaptation Problems

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