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Tao, Wang, Lei, Yan and Mooney, Peter (2011) Dense Point Cloud Extraction from UAV Captured Images in Forest Area. In: Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on. IEEE, pp. 389-392. ISBN 978-1-4244-8352-5
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Abstract
LIDAR (Light Detection And Ranging) is widely used
in forestry applications to obtain information about tree density,
composition, change, etc. An advantage of LIDAR is its ability to
get this information in a 3D structure. However, the density of
LIDAR data is low, the acquisition of LIDAR data is often very
expensive, and it is difficult to be utilised in small areas. In this
article we present an alternative to LIDAR by using a UAV
(Unmanned Aerial Vehicle) to acquire high resolution images of
the forest. Using the dense match method a dense point cloud can
be generated. Our analysis shows that this method can provide a
good alternative to using LIDAR in situations such as these.
| Item Type: | Book Section |
|---|---|
| Additional Information: | The definitive version of this article is available at DOI: 10.1109/ICSDM.2011.5969071 ©2011 IEEE |
| Keywords: | Dense Match; Forest; Point Cloud; SFM; UAV; |
| Academic Unit: | Faculty of Science and Engineering > Computer Science |
| Item ID: | 5882 |
| Identification Number: | 10.1109/ICSDM.2011.5969071 |
| Depositing User: | Peter Mooney |
| Date Deposited: | 19 Feb 2015 16:34 |
| Publisher: | IEEE |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mural.maynoothuniversity.ie/id/eprint/5882 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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