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
复制标题
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
中科院分区:
文献类型:
--
作者:
Zhang Wuming;Chen Yiming;Wang Hongtao;Chen Mei;Wang Xiaoyan;Yan Guangjian
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.
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DOI:
--
发表时间:
2012-12
期刊:
--
影响因子:
--
作者:
A. Strahler;Ewan S Douglas;J. Martel;T. Cook;Christopher Mendillo;R. Marshall;S. Chakrabarti;C. Schaaf;C. Woodcock;Zhan Li;Xiaoyuan Yang;D. Culvenor;D. Jupp;G. Newnham;J. Lovell
通讯作者:
A. Strahler;Ewan S Douglas;J. Martel;T. Cook;Christopher Mendillo;R. Marshall;S. Chakrabarti;C. Schaaf;C. Woodcock;Zhan Li;Xiaoyuan Yang;D. Culvenor;D. Jupp;G. Newnham;J. Lovell
DOI:
10.3390/rs70201877
发表时间:
2015-02
期刊:
Remote. Sens.
影响因子:
--
作者:
Shruthi Srinivasan;S. Popescu;Marian Eriksson;R. Sheridan;N. Ku
通讯作者:
Shruthi Srinivasan;S. Popescu;Marian Eriksson;R. Sheridan;N. Ku
DOI:
--
发表时间:
2004
期刊:
--
影响因子:
--
作者:
B. Gorte;N. Pfeifer
通讯作者:
B. Gorte;N. Pfeifer
影响因子:
1.4
作者:
J. Henning;P. Radtke
通讯作者:
J. Henning;P. Radtke
影响因子:
1.3
作者:
Henning, Jason G.;Radtke, Philip J.
通讯作者:
Radtke, Philip J.