Ground Object Classification and City 3D Model Construction Based on Laser Point Cloud Data
In order to solve the problems of low accuracy and efficiency in traditional methods of land feature classification and urban model construction.This article proposes the construction of terrain classification and urban 3D models based on laser point cloud data.In terms of land classification,the steps of feature extraction,feature selection,and classification algorithms were discussed.For the construction of urban 3D models,key steps such as data acquisition,data preprocessing,feature extraction,model generation,and model optimization were elaborated,and the least squares method was used to construct the urban model.The experimental results show that the method proposed in this paper can effectively improve the accuracy of land cover classification and the efficiency of model construction.
laser point cloudground object classificationcity 3D modeldata acquisition
万方数据
维普
