Visualisation of urban airborne laser scanning data with occlusion images
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|Title:||Visualisation of urban airborne laser scanning data with occlusion images||Authors:||Hinks, Tommy
Laefer, Debra F.
|Permanent link:||http://hdl.handle.net/10197/7548||Date:||Jun-2015||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.||Funding Details:||Environmental Protection Agency
European Research Council
Science Foundation Ireland
|Type of material:||Journal Article||Publisher:||Elsevier||Journal:||ISPRS Journal of Photogrammetry and Remote Sensing||Volume:||104||Start page:||77||End page:||87||Copyright (published version):||2015 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS)||Keywords:||Airborne laser scanning; LiDAR; Ambient occlusion; Urban modelling; Elevation image; Visualisation||DOI:||10.1016/j.isprsjprs.2015.01.014||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||Civil Engineering Research Collection|
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