A novel method based on a starburst pattern to register UAV and terrestrial lidar point clouds in forest environments
Baokun Feng,
Sheng Nie,
Cheng Wang
et al.
Abstract:Accurate and efficient registration of unmanned aerial vehicle light detection and ranging (UAV‐lidar) and terrestrial lidar (T‐lidar) data is crucial for forest structure parameter extraction. This study proposes a novel method based on a starburst pattern for the automatic registration of UAV‐lidar and T‐lidar data in forest scenes. It employs density‐based spatial clustering of applications with noise (DBSCAN) for individual tree identification, constructs starburst patterns separately from both lidar sourc… Show more
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