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 language | English (US) |
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Pages (from-to) | 77-87 |
Number of pages | 11 |
Journal | ISPRS Journal of Photogrammetry and Remote Sensing |
Volume | 104 |
DOIs | |
State | Published - 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