Visualisation of urban airborne laser scanning data with occlusion images

Tommy Hinks, Hamish Carr, Hamid Gharibi, Debra F. Laefer

Research output: Contribution to journalArticle

Abstract

Airborne Laser Scanning (ALS) was introduced to provide rapid, high resolution scans of landforms for computational processing. More recently, ALS has been adapted for scanning urban areas. The greater complexity of urban scenes necessitates the development of novel methods to exploit urban ALS to best advantage. This paper presents occlusion images: a novel technique that exploits the geometric complexity of the urban environment to improve visualisation of small details for better feature recognition. The algorithm is based on an inversion of traditional occlusion techniques.

Original languageEnglish (US)
Pages (from-to)77-87
Number of pages11
JournalISPRS Journal of Photogrammetry and Remote Sensing
Volume104
DOIs
StatePublished - Jun 1 2015

Keywords

  • Airborne laser scanning
  • Ambient occlusion
  • Elevation image
  • LiDAR
  • Urban modelling
  • Visualisation

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Computer Science Applications
  • Computers in Earth Sciences

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