3D Reconstruction of Tree-Crown Based on the UAV Aerial Images. (25th October 2015)
- Record Type:
- Journal Article
- Title:
- 3D Reconstruction of Tree-Crown Based on the UAV Aerial Images. (25th October 2015)
- Main Title:
- 3D Reconstruction of Tree-Crown Based on the UAV Aerial Images
- Authors:
- Xu, Chao
Lu, Zeping
Xu, Guangquan
Feng, Zhiyong
Tan, Hongyan
Zhang, Haifeng - Other Names:
- Thulasiraman Krishnaiyan Academic Editor.
- Abstract:
- Abstract : The algorithm for 3D reconstruction of tree-crown is presented with the UAV aerial images from a mountainous area in China. Considering the fact that the aerial images consist of little tree-crown texture and contour information, a feature area extraction method is proposed based on watershed segmentation, and the local area correlation coefficient is calculated to match the feature areas, in order to fully extract the characteristics that can reflect the structure of tree-crown. Then, the depth of feature points is calculated using the stereo vision theory. Finally, the L-system theory is applied to construct the 3D model of tree. The experiments are conducted with the tree-crown images from UAV aerial images manually. The experiment result showed that the method proposed in this paper can fully extract and match the feature points of tree-crown that can reconstruct the 3D model of the tree-crown correctly.
- Is Part Of:
- Mathematical problems in engineering. Volume 2015(2015)
- Journal:
- Mathematical problems in engineering
- Issue:
- Volume 2015(2015)
- Issue Display:
- Volume 2015, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 2015
- Issue:
- 2015
- Issue Sort Value:
- 2015-2015-2015-0000
- Page Start:
- Page End:
- Publication Date:
- 2015-10-25
- Subjects:
- Engineering mathematics -- Periodicals
510.2462 - Journal URLs:
- https://www.hindawi.com/journals/mpe/ ↗
http://www.gbhap-us.com/journals/238/238-top.htm ↗ - DOI:
- 10.1155/2015/318619 ↗
- Languages:
- English
- ISSNs:
- 1024-123X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10743.xml