Efficient registration of terrestrial LiDAR scans using a coarse-to-fine strategy for forestry applications

Efficient registration of terrestrial LiDAR scans using a coarse-to-fine strategy for forestry applications
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使用林业应用中从粗到细的策略有效注册地面 LiDAR 扫描

DOI:
10.1016/j.agrformet.2016.05.005
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发表时间:
2016-09
影响因子:
6.2
通讯作者:
Yan Guangjian
Yan Guangjian
中科院分区:
农林科学1区
文献类型:
--
作者:
Zhang Wuming;Chen Yiming;Wang Hongtao;Chen Mei;Wang Xiaoyan;Yan Guangjian

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地面激光扫描(TLS)在获取森林三维结构信息方面发挥着越来越重要的作用。阻塞和干密度通常需要多次扫描,使得配准过程至关重要。在森林地区,由于自然地物难以发现,传统的配准方法通常使用人工反射物作为连接点。然而,反射器的放置降低了扫描效率,特别是在具有严重障碍物的林分中。本文提出了一种由粗到精的有效配准方法,克服了人工目标放置的困难,从而提高了扫描效率。粗配准步骤利用后视定向方法来形成粗对准。与其他在城市地区使用的后视研究不同,我们完全依赖于带有内部指南针和内置倾斜传感器的TLS系统。在精细配准步骤中,在每次单独扫描中计算股骨柄中心位置。然后,在粗配准结果的帮助下,在相邻扫描之间找到对应的茎中心对。它们被用作连接点来执行用于精细配准的刚体变换。提出的粗到精的配准方法在中国东北的两个森林站点进行了测试。配准精度约为1.5 cm。结果还表明,在胸高直径(DBHs)提取注册TLS数据集与现场测量的DBHs(决定系数(R2):0.92,均方根误差(RMSE):0.27厘米)的高度相关。综合考虑扫描效率和精度,提出的由粗到精的配准方法为森林测量提供了一种可行有效的方法。
Terrestrial Laser Scanning (TLS) plays an increasing role in acquiring 3-dimensional forest structure information. Obstructions and stem density often need multiple scans, making the registration procedure vitally important. Since natural features are difficult to find, traditional registration methods often use artificial reflectors as tie points in forest areas. However, the placement of reflectors reduces the scanning efficiency, especially in forest stands with severe obstructions. In this paper, an efficient registration method using a coarse-to-fine strategy is proposed to overcome the challenge of placing artificial targets so as to improve the scanning efficiency. The coarse registration step utilizes the backsighting orientation approach to form a coarse alignment. Unlike other backsighting research used in urban areas, we solely rely on a TLS system with an internal compass and a built-in inclination sensor. In the fine registration step, stem center locations are calculated in each individual scan. Then, corresponding stem center pairs are found between adjacent scans with the help of the coarse registration results. They are used as tie points to perform a rigid-body transformation for the fine registration. The proposed coarse-to-fine registration method was tested at two forest sites in northeast China. The registration accuracy is approximately 1.5 cm. Results also show that the diameters at breast height (DBHs) extracted from registered TLS data sets are highly correlated with field-measured DBHs (coefficient of determination (R2): 0.92, root mean square error (RMSE): 0.27 cm). Considering both the scanning efficiency and accuracy, the proposed coarse-to-fine registration method provides a feasible and effective way for forest measurements.
DOI: --
发表时间: 2012-12
期刊: --
影响因子: --
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发表时间: 2006-01
期刊: Forest Science
影响因子: 1.4
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