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, TommyCarr, HamishGharibi, HamidLaefer, Debra F.
Permanent link: http://hdl.handle.net/10197/7548
Date: Jun-2015
Online since: 2017-06-01T01:00:10Z
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 scanningLiDARAmbient occlusionUrban modellingElevation imageVisualisation
DOI: 10.1016/j.isprsjprs.2015.01.014
Language: en
Status of Item: Peer reviewed
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Civil Engineering Research Collection

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