Research On Data Filtering And Building Extraction Of Airborne LiDAR Data

Airborne laser radar is a new land-based detection technology developed in recent years.The airborne LiDAR measurement system can acquire a wide range of three-dimensional information of terrestrial space in real time.This technique has been increasingly used in production and construction.Airborne LiDAR point cloud data filtering and building extraction has always been a hot topic in this field.This paper mainly analyzes and studies the filtering and building extraction of airborne LiDAR point cloud data,and puts forward the corresponding airborne LiDAR point cloud data filtering algorithm and building extraction method.The main work and main research contents of this paper are as follows:(1)This paper summarizes the development history of airborne LiDAR equipment,describes the filtering methods of airborne LiDAR point cloud data and the research status of building extraction at home and abroad.The composition,principle and application of the airborne LiDAR measurement system are described.(2)Through the analysis of the organization mode and its advantages and disadvantages of airborne LiDAR point cloud data,the concept of virtual grid is introduced.Based on this,an adaptive slope filtering algorithm based on multi-scale virtual grid is proposed.Combined with the experimental data,the filter algorithm of this paper was qualitatively and quantitatively analyzed.And use the filtering algorithm of this paper and the progressive filtering algorithm of irregular triangular network to compare and test,demonstrating the advantages and disadvantages of the algorithm in the filtering effect.(3)Several methods of airborne LiDAR point cloud data extraction are briefly summarized in this paper.TerrasScan software is used to generate nDSM images of airborne LiDAR point cloud data in the experimental area.Mathematical morphology is used to open and close calculations and edge detection algorithms are used by buildings.Extraction,and comparison of the extraction results with the buildings in the aerial image data to verify the feasibility of the results of the building extraction method in this paper.