Paper Info
Title
Fast Registration Of Forest Terrestrial Laser Scans Using Key Points Detected From Crowns And Stems
Abstract
Registration of TLS data is an important prerequisite to overcome the limitations of occlusion. Most existing registration methods rely on stems to determine the transformation parameters. However, the complexity of the registration problem increases dramatically as the number of stems grows. It is tricky to reduce the stems and determine the valid ones that can provide reliable registration transformation without a knowledge of the two scans. This paper presents an automatic and fast registration of TLS point clouds in forest areas. It reduces stems by selecting from the overlap areas, which are recovered from the mode-based key points that are detected from crowns. The proposed method was tested in a managed forest in Finland, and was compared with the stem-based registration method without reducing stems. The experiments demonstrated that the mean rotation error was 2.09 ', and the mean errors in horizontal and vertical translation were 1.13 and 7.21 cm, respectively. Compared with the stem-based method, the proposed method improves the registration efficiency significantly (818 s vs 96 s) and achieves similar results in terms of the mean registration errors (1.94 ' for rotation error, 0.83 and 7.38 cm for horizontal and vertical translation error, respectively).
Year
DOI
Venue
2020
10.1080/17538947.2020.1764118
INTERNATIONAL JOURNAL OF DIGITAL EARTH
Keywords
DocType
Volume
Terrestrial laser scanning (TLS), forest, point clouds, registration
Journal
13
Issue
ISSN
Citations 
12
1753-8947
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Wenxia Dai171.50
Bisheng Yang230833.15
Xinlian Liang319323.72
Zhen Dong4224.89
Ronggang Huang500.34
Yunsheng Wang6545.41
Jiri Pyörälä700.34
Antero Kukko848347.44