A study on detecting trees and discriminating vertical building wall points from LIDAR point cloud

라이다 포인트 클라우드에서 수목 및 건물의 외부 수직벽 포인트의 인식과 제거에 관한 연구

In this study, we proposed a way to detect trees using virtual grid and to discriminate vertical wall points from building tops based on effective segmentation of LIDAR point cloud utilizing scan line characteristics. Trees were detected by their surface roughness value calculated based on virtual grid and vertical building wall points were discriminated from building tops with one dimensional filtering of scan line during segmenting point cloud. In results, we could distinguish trees from buildings and bind virtical wall points to prevent them from faltly acting on point segmentation process.