Leaf and Wood Separation for Individual Trees Using the Intensity and Density Data of Terrestrial Laser Scanners
Leaf and Wood Separation for Individual Trees Using the Intensity and Density Data of Terrestrial Laser Scanners
复制标题
使用地面激光扫描仪的强度和密度数据分离单棵树的叶子和木材
DOI：
10.1109/tgrs.2020.3032167
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发表时间：
2021-08
影响因子：
8.2
通讯作者：
Xiaojun Cheng
中科院分区：
文献类型：
--
作者：
Kai Tan;Weiguo Zhang;Zhen Dong;Xiaolong Cheng;Xiaojun Cheng
地面激光扫描（TLS）是一种高效且非侵入性的技术，用于使用3-D高精度和高密度点云检索树木的结构和生物物理属性。TLS数据中叶点和木点的分离是准确可靠地导出这些属性的先决条件。在这项研究中，提出了一种新的方法来分离叶和木材点的单棵树相结合的TLS辐射（强度）和几何（密度）数据。通过三个步骤将叶点与木点分离。首先，校正后的强度数据被用来分离一部分的叶片点初步给定的反射特性的差异。第二，采用密度数据进一步分离另一部分叶点，因为剩余叶点的密度小于木材点的密度。最后，一个连接聚类算法进行形成几个不同大小的类（点）和其余的叶点根据类的大小分离。八个不同的树被选择来评估所提出的方法的性能。8棵树的平均总体准确率和Kappa系数分别约为95%和0.81。结果表明，结合TLS强度和密度数据可以实现叶木点的上级分离，该方法适用于不同树种、不同大小和不同结构的树木。
Terrestrial laser scanning (TLS) is a highly effective and noninvasive technology for retrieving the structural and biophysical attributes of trees using 3-D high-accuracy and high-density point clouds. The separation of leaf and wood points in TLS data is a prerequisite for the accurate and reliable derivation of these attributes. In this study, a new method is proposed to separate the leaf and wood points of individual trees by combining the TLS radiometric (intensity) and geometric (density) data. The leaf points are separated from the wood ones through three steps. First, the corrected intensity data are used to separate a part of the leaf points preliminarily given the differences in reflectance characteristics. Second, the density data are adopted for the further separation of another part of the leaf points because the density of the remaining leaf points is smaller than that of the wood points. Finally, a connectivity clustering algorithm is conducted to form several clusters with different sizes (points) and the remaining leaf points are separated in accordance with the cluster sizes. Eight different trees are selected to evaluate the performance of the proposed method. The averaged overall accuracy and kappa coefficient of the eight trees are approximately 95% and 0.81, respectively. The results suggest that the combination of TLS intensity and density data can perform a superior separation of leaf and wood points in terms of efficiency and accuracy, and the proposed separation method can be accurately and robustly used for various trees with different species, sizes, and structures.
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影响因子：
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作者：
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通讯作者：
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DOI：
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