Improving and Optimising Visualisations of Full-waveform LiDAR Data

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dc.contributor.authorMiltiadou, Miltoen_US
dc.contributor.authorCampbell, Neill D. F.en_US
dc.contributor.authorBrown, Matthewen_US
dc.contributor.authorCosker, Darrenen_US
dc.contributor.authorGrant, Michaelen_US
dc.contributor.editorCagatay Turkay and Tao Ruan Wanen_US
dc.date.accessioned2016-09-15T09:05:52Z
dc.date.available2016-09-15T09:05:52Z
dc.date.issued2016
dc.description.abstractVisualisations of Remotely Sensed data has a significant role in forestry. Foresters have a great knowledge about forests (for example they can identify tree diseases) and they can derive a wealth of information directly from visualisations, saving the travelling time and cost of getting into the forests.en_US
dc.description.sectionheadersImage Based and Lighthing Techniques
dc.description.seriesinformationComputer Graphics and Visual Computing (CGVC)
dc.identifier.doi10.2312/cgvc.20161295
dc.identifier.isbn978-3-03868-022-2
dc.identifier.issn-
dc.identifier.pages45-47
dc.identifier.urihttps://doi.org/10.2312/cgvc.20161295
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/cgvc20161295
dc.publisherThe Eurographics Associationen_US
dc.titleImproving and Optimising Visualisations of Full-waveform LiDAR Dataen_US
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