Vegetation extraction from LiDAR raw points using surface flatness

M. Yassine Belkhouche, Bill P. Buckles, Laura J. Steinberg

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Removal of vegetation and buildings is a very important task for DEM (Digital Elevation Model) generation from LiDAR data. In this paper we consider the problem of tree removal. To achieve this task we used surface flatness. The flatness of a 3D object modeled by a set of points is defined as its volumetric surface divided by its surface projected on 2D. Trees tend to have higher flatness values than other objects. In order to determine the exact boundaries of the trees, the flatness map is used as initialization mask for the active contour algorithm. We successfully detected about 80% of the trees.

Original languageEnglish (US)
Title of host publicationProceedings of the IASTED International Conference on Signal and Image Processing, SIP 2009
Pages204-208
Number of pages5
StatePublished - Dec 1 2009
EventIASTED International Conference on Signal and Image Processing, SIP 2009 - Honolulu, HI, United States
Duration: Aug 17 2009Aug 19 2009

Publication series

NameProceedings of the IASTED International Conference on Signal and Image Processing, SIP 2009

Other

OtherIASTED International Conference on Signal and Image Processing, SIP 2009
CountryUnited States
CityHonolulu, HI
Period8/17/098/19/09

Keywords

  • Active contour
  • LiDAR
  • Triangulated irregular network

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Software
  • Electrical and Electronic Engineering

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  • Cite this

    Belkhouche, M. Y., Buckles, B. P., & Steinberg, L. J. (2009). Vegetation extraction from LiDAR raw points using surface flatness. In Proceedings of the IASTED International Conference on Signal and Image Processing, SIP 2009 (pp. 204-208). (Proceedings of the IASTED International Conference on Signal and Image Processing, SIP 2009).