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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 318619, 8 pages
http://dx.doi.org/10.1155/2015/318619
Research Article

3D Reconstruction of Tree-Crown Based on the UAV Aerial Images

1School of Computer Software, Tianjin University, Tianjin 300072, China
2School of Computer Science and Technology, Tianjin University, Tianjin 300072, China
3High Performance Network Lab, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
4Space Star Technology Co., Ltd., Beijing 100086, China

Received 11 June 2015; Accepted 21 July 2015

Academic Editor: Krishnaiyan Thulasiraman

Copyright © 2015 Chao Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.