Building Extraction from Airborne LiDAR Point Cloud Data Based on TerraScan
In the process of LiDAR point cloud classification,it is difficult to extract building points accurately,which leads to diffi-culties in operation. This paper presents a building extraction method for airborne LiDAR point cloud data. Based on TerraScan,ab-normal data removal,ground filtering and vegetation separation are realized to complete building extraction,and the accuracy of build-ing extraction results is evaluated. The accuracy evaluation results show that the total error of extraction is 2.0851％,and the kappa coefficient is 0.91,indicating that the extraction process method has good application ability in building extraction.
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