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    淮永建, 孟庆阔, 陈园园, 马天容, 徐海峰, 聂笑盈. 真实感林木建模方法研究综述[J]. 北京林业大学学报, 2022, 44(8): 134-146. DOI: 10.12171/j.1000-1522.20210544
    引用本文: 淮永建, 孟庆阔, 陈园园, 马天容, 徐海峰, 聂笑盈. 真实感林木建模方法研究综述[J]. 北京林业大学学报, 2022, 44(8): 134-146. DOI: 10.12171/j.1000-1522.20210544
    Huai Yongjian, Meng Qingkuo, Chen Yuanyuan, Ma Tianrong, Xu Haifeng, Nie Xiaoying. Review on realistic forest modeling methods[J]. Journal of Beijing Forestry University, 2022, 44(8): 134-146. DOI: 10.12171/j.1000-1522.20210544
    Citation: Huai Yongjian, Meng Qingkuo, Chen Yuanyuan, Ma Tianrong, Xu Haifeng, Nie Xiaoying. Review on realistic forest modeling methods[J]. Journal of Beijing Forestry University, 2022, 44(8): 134-146. DOI: 10.12171/j.1000-1522.20210544

    真实感林木建模方法研究综述

    Review on realistic forest modeling methods

    • 摘要: 林木作为国家自然资源的重要组成部分,具有重要的研究价值,构建虚拟林木真实感模型可产生影视特效、游戏娱乐、森林生态等经济社会效益,且有助于世界数字林木资源的积累和整理。但目前不同的虚拟林木建模方法在表现模型的真实感方面仍然存在一些不足。本文在分析虚拟林木研究状况的基础上,给出了真实感建模方法的不同分类,并总结了基于真实世界数据的重建方法、交互式建模方法和基于规则或程序的系统建模方法的理论基础、适用领域以及优缺点。此外,还汇总了当前最流行的适用强的建模软件,并进行对比分析。最后讨论了真实感林木建模方法存在的问题及进一步的发展趋势。

       

      Abstract: As an important part of national natural resources, forest has important research value. The construction of virtual forest realistic model has economic and social benefits such as film and television special effects, game entertainment and forest ecology, and is conducive to the accumulation and arrangement of world digital forest resources. At present, different virtual forest modeling methods still have some deficiencies in expressing the reality of the model. Based on the analysis of the research status of virtual forest, this paper gives different classifications of realistic modeling methods, and summarizes the theoretical basis, application fields, advantages and disadvantages of reconstruction methods based on real world data, interactive modeling methods and system modeling methods based on rules or procedures. In addition, the most popular modeling software with strong applicability was summarized and compared. Finally, the existing problems and further development trend of realistic forest modeling methods are discussed.

       

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