Airborne/vehicle-mounted laser point cloud precision estimation method based on Monte Carlo simulation

Abstract

The invention discloses an airborne / vehicle-mounted laser point cloud precision estimation method based on Monte Carlo simulation, and the method comprises the steps: generating an original laser point cloud, and carrying out the calculation of a POS track line; generating Monte Carlo simulation laser point cloud; performing laser point cloud rapid association based on a timestamp; carrying out airborne / vehicle-mounted laser point cloud precision estimation analysis, carrying out statistical analysis on the basis of the aligned original laser point cloud and n groups of attitude angle Monte Carlo simulation laser point clouds, and realizing analysis of spatial distribution characteristics and laws of laser point cloud coordinates and prediction and evaluation of the overall precision by considering a median error of an antenna phase center position on the basis of the statistical analysis of the aligned original laser point clouds and n groups of attitude angle Monte Carlo simulation laser point clouds. The method is suitable for the point cloud obtained by any laser scanning device, is suitable for any terrain, does not need to establish an error propagation equation and condition assumption, can provide an effective basis for point cloud precision estimation and device type selection in an airborne laser scanning engineering project, is beneficial to guarantee the engineering data quality, and has remarkable social and economic benefits.

Description

technical field [0001] The invention belongs to the field of surveying and mapping science and technology, and specifically relates to an airborne / vehicle laser point cloud accuracy estimation method based on Monte Carlo simulation, which can not only estimate the overall accuracy of the airborne / vehicle laser point cloud, but also analyze laser The spatial distribution characteristics of point cloud accuracy provide technical support for the quality control of laser point cloud and the selection of airborne / vehicle laser scanning equipment. [0002] technical background [0003] LiDAR (Light Detection And Ranging, LiDAR) is a new surveying and mapping technology that can quickly and accurately acquire large-scale ground three-dimensional information. It has the advantages of high precision, high degree of automation, and short data production cycle. Due to the complexity of the measurement system, the accuracy of the laser point cloud acquired by the airborne lidar is affect...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to aim at the inaccurate estimation of laser point cloud positioning accuracy by traditional theoretical methods, and proposes an airborne / vehicle laser point cloud accuracy prediction method based on Monte Carlo simulation. The main source of error - the random error of the attitude angle is simulated, and the simulated laser point cloud and the original laser point cloud are compared and analyzed to realize the spatial law analysis and overall prediction and evaluation of the three-dimensional coordinate accuracy of the airborne / vehicle laser point cloud

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