Improving and Optimising Visualisations of Full-waveform LiDAR Data

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Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Visualisations 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.
Description

        
@inproceedings{
10.2312:cgvc.20161295
, booktitle = {
Computer Graphics and Visual Computing (CGVC)
}, editor = {
Cagatay Turkay and Tao Ruan Wan
}, title = {{
Improving and Optimising Visualisations of Full-waveform LiDAR Data
}}, author = {
Miltiadou, Milto
and
Campbell, Neill D. F.
and
Brown, Matthew
and
Cosker, Darren
and
Grant, Michael
}, year = {
2016
}, publisher = {
The Eurographics Association
}, ISSN = {
-
}, ISBN = {
978-3-03868-022-2
}, DOI = {
10.2312/cgvc.20161295
} }
Citation