Hinks, TommyTommyHinksCarr, HamishHamishCarrGharibi, HamidHamidGharibiLaefer, Debra F.Debra F.Laefer2016-04-062017-06-012015 Inter2015-06ISPRS Journal of Photogrammetry and Remote Sensinghttp://hdl.handle.net/10197/7548Airborne 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.enThis is the author’s version of a work that was accepted for publication in <Journal Title>. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in ISPRS Journal of Photogrammetry and Remote Sensing (VOL 104, ISSUE 2015, (2015)) DOI: 10.1016/j.isprsjprs.2015.01.014.Airborne laser scanningLiDARAmbient occlusionUrban modellingElevation imageVisualisationJournal Article104778710.1016/j.isprsjprs.2015.01.0142016-01-29https://creativecommons.org/licenses/by-nc-nd/3.0/ie/