Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference (한국측량학회:학술대회논문집)

Korean Society of Surveying, Geodesy, Photogrammetry and Cartography (한국측량학회)
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Noise Removal of Terrestrial LiDAR Data Using Tensor Voting Method

텐서보팅(Tensor Voting)기법을 이용한 지상라이다 자료의 노이즈 처리

  • 서일홍 (연세대학교 사회환경시스템공학부) ;
  • 손홍규 (연세대학교 사회환경시스템공학부) ;
  • 김창재 (연세대학교 사회환경시스템공학부) ;
  • 임진희 (대진대학교 토목공학과)
  • Published : 2010.04.23
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Abstract

Terrestrial LiDAR data contains outliers which do not need in processing purpose. That is inefficient in the aspect of productivity. These noise requires manual process to be removed, which causes inefficiency in aspect of productivity. The purpose of this research is to demonstrate a possibility of automatic outlier removal of LiDAR data using 3D Tensor Voting method. For this, we presented in this article about the procedure to perform the application of Tensor Voting algorithm to the real data from terrestrial LiDAR.

Keywords