【摘要】 随着环境保护和城市规划需求的提升，树木三维重建技术在多个领域中日益重要。为梳理该技术的发展脉络，系统综述了当前主流的树木三维重建技术，包括基于实测参数与生长机理的树木三维重建技术，其中基于实测参数的树木三维重建技术又包括了基于图像处理与三维扫描的技术，并分析了它们的优缺点及适用场景。研究发现，尽管现有三维重建技术在精度和应用方面取得了一定进展，但仍面临例如重建点云数据稀疏和重建效率不高等问题。因此，未来研究可进一步引入深度学习、多源数据融合和实时重建等先进手段，以提升树木三维重建技术的性能与实用价值。更多还原

【Abstract】 With the increasing demands for environmental protection and urban planning, three-dimensional tree reconstruction technology has become increasingly important across multiple fields. To trace the development trajectory of this technology, this study systematically reviews current mainstream three-dimensional tree reconstruction techniques, including those based on measured parameters and growth mechanisms. Among these, techniques based on measured parameters encompass image processing and 3D scanning methods, with an analysis of their respective advantages, disadvantages, and applicable scenarios. The study finds that while existing 3D reconstruction techniques have made progress in accuracy and application, challenges persist, such as sparse point cloud data and insufficient reconstruction efficiency. Therefore, future research should explore advanced approaches like deep learning, multi-source data fusion, and real-time reconstruction to enhance the performance and practical value of tree 3D reconstruction technology.更多还原