Hinks, T, Carr, H, Gharibi, H et al. (1 more author) (2015) Visualisation of urban airborne laser scanning data with occlusion images. ISPRS Journal of Photogrammetry and Remote Sensing, 104. pp. 77-87. ISSN 0924-2716
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. This is an author produced version of a paper published in ISPRS Journal of Photogrammetry and Remote Sensing. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Airborne laser scanning; LiDAR; Ambient occlusion; Urban modelling; Elevation image; Visualisation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Institute for Computational and Systems Science (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 May 2016 13:47 |
Last Modified: | 06 May 2016 13:47 |
Published Version: | https://dx.doi.org/10.1016/j.isprsjprs.2015.01.014 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.isprsjprs.2015.01.014 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:97575 |