Poplar branch and trunk modeling based on Levenberg-Marquardt

被引:0
|
作者
机构
[1] College of Information Science and Technology, Nanjing Forestry University, Nanjing
[2] College of Forest Resources and Environment, Nanjing Forestry University, Nanjing
来源
Hu, Chunhua | 1600年 / Chinese Society of Agricultural Machinery卷 / 45期
关键词
3D visualization model; Levenberg-Marquardt algorithm; Poplar;
D O I
10.6041/j.issn.1000-1298.2014.10.042
中图分类号
学科分类号
摘要
The improved Levenberg-Marquardt algorithm was used to estimate the parameters of poplar branch and trunk modeling. To achieve a dynamic three-dimensional visualization of poplar, amount of diameters were obtained by measuring different poplars forest age. According to the growth trend of diameters, the function of diameter growth was built using the improved Levenberg-Marquardt algorithm. A class of heart-shaped curve equation was proposed, and the relationship function between the main branch length and the depth of the sticks was obtained using the improved Levenberg-Marquardt algorithm. A lot of comparison experiments were carried out, and the results demonstrated that the fitting algorithms and mathematical models selected could better simulate the growth of poplar branches. The three-dimensional visualization of poplar was realized with dynamic simulation equation, and the results validated the effectiveness of poplar growth modeling.
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页码:272 / 276and271
相关论文
共 18 条
  • [1] Dufour-Kowalski S., Courbaud B., Dreyfus P., Et al., Capsis: an open software framework and community for forest growth modeling, Annals of Forest Science, 69, 2, pp. 221-233, (2012)
  • [2] Rosell J.R., Sanz R., A review of methods and applications of the geometric characterization of tree crops in agricultural activities, Computers and Electronics in Agriculture, 81, pp. 124-141, (2012)
  • [3] Tao S., Zhao D., Rapid parametric modeling of geometry structure for trees, Journal of Beijing Forestry University, 35, 2, pp. 97-101, (2013)
  • [4] Zhou J., Chen L.T., Liu Q.H., Et al., Fractal-based 3d tree modeling, 2010 International Conference on Computer Design and Applications (ICCDA), 5, pp. 454-457, (2010)
  • [5] Allen M.T., Prusinkiewicz P., Dejong T.M., Using L-systems for modeling source-sink interactions, architecture and physiology of growing trees: the L-PEACH model, New Phytologist, 166, 3, pp. 869-880, (2005)
  • [6] Liu Y., Wang H., Du W., Et al., Image-based reconstruction of tree-like objects , Chinese Journal of Computers, 25, 9, pp. 930-935, (2002)
  • [7] Teng C.H., Cheny S., Image-based tree model from a few images with very narrow viewing range, Visual Computer, 25, 4, pp. 297-307, (2009)
  • [8] Cheng Z.L., Zhang X.P., Chen B.Q., Simple reconstruction of tree branches from a single range image, Journal of Computer Science and Technology, 22, 6, pp. 846-858, (2007)
  • [9] Lu K., The research of visual simulation of morphological structure change of cunninghamia lanceolata based on physiological and ecological model, (2012)
  • [10] Liu Z., The three dimensional computer graphics simulation technique of tree crown dynamic for mongolian scots pine in plantation , (2007)