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Wang, Xufei (author), Yang, Z. (author), Cheng, Xiaojun (author), Stoter, J.E. (author), Xu, Wenbing (author), Wu, Zhenlun (author), Nan, L. (author)
Registering point clouds of forest environments is an essential prerequisite for LiDAR applications in precision forestry. State-of-the-art methods for forest point cloud registration require the extraction of individual tree attributes, and they have an efficiency bottleneck when dealing with point clouds of real-world forests with dense...
journal article 2023
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Yang, Z. (author), Ye, Qin (author), Wang, Xufei (author), Peters, R.Y. (author)
Objective Recent advancements in laser scanners and photogrammetry technology have significantly reduced the cost of acquiring 3D point clouds. Consequently, various types of point clouds have gradually become popular data sources for urban applications. The accurate registration of cross-source and multi<sup>-</sup>temporal point clouds must...
journal article 2023