A forest point cloud registration method based on improved two-dimensional feature descriptors

Zhenghui Wang; Lei Zhu; Jian Wang; Zhiyuan Li

doi:10.1117/12.3057493

28 January 2025 A forest point cloud registration method based on improved two-dimensional feature descriptors

Zhenghui Wang, Lei Zhu, Jian Wang, Zhiyuan Li

Author Affiliations +

Proceedings Volume 13506, Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024); 1350624 (2025) https://doi.org/10.1117/12.3057493
Event: Sixth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2024), 2024, Qingdao, China

Abstract

Terrestrial laser scanning (TLS) technology has become an important tool in forest survey, and multi-station scanning registration is a key prerequisite for subsequent data processing. At present, the TLS registration of multi-station scanning in forests is mainly based on the registration of target spheres, which is very time-consuming and cumbersome. In this paper, an automatic registration method based on improved two-dimensional feature descriptors is proposed. The method mainly includes five steps: height normalization, point cloud slicing, trunk position extraction, feature descriptor construction, and trunk matching. The algorithm can efficiently and accurately extract tree trunk position information from the TLS data of multiple stations, and construct and match two-dimensional feature descriptors for point cloud registration based on the relative spatial position relationship of tree trunks. The algorithm was tested under the point cloud data of six sample plots and the experimental results show that the algorithm has high accuracy, with the average accuracy, recall rate and F1 score of trunk extraction reaching 94.6%, 93.9% and 94.3%, respectively, and the average RMSE of point cloud registration is 0.035.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhenghui Wang, Lei Zhu, Jian Wang, and Zhiyuan Li "A forest point cloud registration method based on improved two-dimensional feature descriptors", Proc. SPIE 13506, Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024), 1350624 (28 January 2025); https://doi.org/10.1117/12.3057493

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