ACCURATE CALCULATION OF TREE STEM TRAITS IN FORESTS BY LOCAL CORRECTION OF POINT CLOUD REGISTRATION
ACCURATE CALCULATION OF TREE STEM TRAITS IN FORESTS BY LOCAL CORRECTION OF POINT CLOUD REGISTRATION
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DOI：
10.5194/isprs-archives-xliii-b2-2022-209-2022
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发表时间：
2022-05
期刊：
影响因子：
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通讯作者：
H. Kawasaki;H. Masuda
中科院分区：
文献类型：
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作者：
H. Kawasaki;H. Masuda
抽象的。近年来，从地面激光扫描仪获取的点云中准确计算树干特征在林业和森林研究中变得非常重要。然而，要在一片森林中大面积准确地对齐大量树木是困难的。因此，从点云计算的特征的可靠性一直是有问题的。在本文中，我们提出了一种自动校正未对齐的点云和计算准确的树干特征的方法。在我们的方法中，为每棵树计算不同的配准矩阵来校正未对准。当指定目标树时，选择在目标树附近测量的点云和相邻树的点进行多视角配准，并计算适合于目标树的配准矩阵。实验结果表明，该方法能有效地纠正错位和精确计算树干性状。
Abstract. In recent years, it has become important in forestry and forest research to accurately calculate tree stem traits from point clouds captured using the terrestrial laser scanner. However, it is difficult to accurately align a large number of trees in a forest over a large area. Therefore, the reliability of traits calculated from point clouds has been problematic. In this paper, we propose a method to automatically correct misaligned point-clouds and calculate accurate tree stem traits. In our method, a different registration matrix is calculated for each tree to correct the misalignment. When the target tree is specified, point-clouds measured in the vicinity of the target tree and points of the neighbor trees are selected for multi-view registration, and a registration matrix suitable for the target tree is calculated. The experimental results show that the proposed method is effective in correcting misalignment and precisely calculating tree stem traits.