详细信息
Three-dimensional visualization method of editing sub-compartment boundary in forestry ( EI收录) 被引量:15
文献类型:期刊文献
英文题名:Three-dimensional visualization method of editing sub-compartment boundary in forestry
作者:Li, Yongliang[1] Zhang, Huaiqing[1] Yang, Tingdong[1] Li, Sijia[1] Shen, Kang[1]
第一作者:李永亮
机构:[1] Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China
年份:2018
起止页码:524-529
外文期刊名:Proceedings - 2018 3rd International Conference on Mechanical, Control and Computer Engineering, ICMCCE 2018
收录:EI(收录号:20190306374933)
语种:英文
外文关键词:Timber - Visualization - Rendering (computer graphics) - Three dimensional computer graphics - Data visualization - Mammals - Merging
摘要:Combining 3D virtual scene rendering with forest sub-compartment boundary editing, a forest sub-compartment boundary editing method in the 3D virtual scene is proposed. First of all, the boundary nodes were calculated according to the sub-compartment vector boundary in the 2D, and the boundary nodes were represented by entities in the 3D scene. Secondly, the node entities that need to be edited were picked up by using the mouse, and then interactive editing operations could be done such as moving and building. Lastly, the sub-compartment boundary nodes sorting algorithms for the 3D visual editing such as moving, cutting and merging of the boundary were proposed. The sub-compartment 3D boundary was redrawn according to the order of reordering entities. Taking the 2D vector data and terrain data of the specific sub-compartment as an example, the 3D visualization method of editing the sub-compartment boundary in forestry was verified based on the MOGRE rendering engine. The results show that this method can restore the real 3D existence form of the sub-compartment, reflect its 3D spatial structure characteristics, and directly implement the interactive editing operations and simulation results of 3D visual moving, cutting and merging for any sub-compartment boundary. This method can be directly applied to forest resources investigation, planning to improve the management ability. ? 2018 IEEE.
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