Research On Classifying Of Airborne Laser Scanning Point Clouds Data With Contours

The airborne Li DAR has been developed for more than twenty years,and it has been applied more and more widely in the fields of hydrology,geology,power,petroleum,pipeline,land,military and so on.The main data obtained by Airborne light detection and ranging are discrete and dense 3D laser point clouds data,Airborne LiDAR can direct access to digital surface model,and obtaining a digital elevation model through the data filtering has been a classic task of laser radar data processing and application,therefore,it is of great practical value to explore the LiDAR point cloud data classification method.Many experts and scholars at home and abroad have done a lot of research on the algorithm of point cloud data filtering.But most of the algorithms only deal with the original point cloud data,there are certain limitations.According to the previous research experience,it can be concluded that it is impossible to achieve the ideal filtering effect only by filtering the original point cloud data without adding other auxiliary data.With the diversity of the data acquisition methods and results,we can make full use of the known data to improve the accuracy of the filtering results.Based on this,this paper based on the previous research results,attempting based on interpolation filtering algorithm and using the known contours and height mutation information of 3D laser point cloud toextract ground points from LiDAR point clouds data.In this paper,used c# and based on ArcGIS Engine,compiled the filtering software,selected a region of hill and plain areas for experiment,according to the analysis of the selection of equal height and threshold,used one meter?two meters and the different height threshold to conduct experiment and analysis of the filtering algorithm,the quality of the filter is evaluated by visual discrimination and quantitative analysis,in order to find the best equal distance and threshold parameters,and the feasibility and applicability of the algorithm is proved.The experimental results show that the method of contour aided Airborne LiDAR point cloud data filtering algorithm is feasible,whether it is flat or hill,the classification results accuracy of one meter contour are better than the two merer contour,considering the error of the three kind and visual effect,the optimal threshold parameters is 0.6m in the flat for one meter contour,the total error of filtering is 10.96%,the optimal threshold parameters is 0.7m in the hill,the total error of filtering is 14.14%,which provides a certain reference for the actual operation of the future.