Recently, team member - Dr.Shao Jie’s paper titled “Efficient co-registration of UAV and ground LiDAR forest point clouds based on canopy shapes” has been published in the top-tier journal in the field of earth observation - International Journal of Applied Earth Observation and Geoinformation. In this work, an automated and time-efficient method to register ULS and ground LiDAR (including terrestrial and backpack laser scanning) forest point clouds is developed. The fast and efficent horizontal alignment is achieved by canopy image matching. During image matching, vegetation points are projected onto the horizontal plane to obtain two binary images, and then, canopy shape feature, which is described by a two-point congruent set and canopy overlap, is used to match the binary images.
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Congratulations to Jie!