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AIRBORNE LIDAR POINT CLOUD CLASSIFICATION BASED ON MULTILEVEL POINT CLUSTER FEATURES
2020
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Abstract. Airborne Light Detection And Ranging (LiDAR) has become an important means for efficient and high-precision acquisition of 3D spatial data of large scenes. It has important application value in digital cities and location-based services. The classification and identification of point cloud is the basis of its application, and it is also a hot and difficult problem in the field of geographic information science.The difficulty of LiDAR point cloud classification in large-scale urban
doi:10.5194/isprs-archives-xlii-3-w10-1231-2020
fatcat:lolre7ycabfdleexjm45oaosmy