Fast registration of forest terrestrial laser scans using key points detected from crowns and stems  

作　　者：Wenxia Dai Bisheng Yang Xinlian Liang Zhen Dong Ronggang Huang Yunsheng Wang Jiri Pyörälä Antero Kukko 

机构地区：[1]State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan,People’s Republic of China [2]Department of Remote Sensing and Photogrammetry,Finnish Geospatial Research Institute,FGI(Former Finnish Geodetic Institute),Masala,Finland [3]Institute of Geodesy and Geophysics,Chinese Academy of Sciences,Wuhan,People’s Republic of China

出　　处：《International Journal of Digital Earth》2020年第12期1585-1603,共19页国际数字地球学报（英文）

基　　金：funded by the Key Program of the National Natural Science Foundation of China(No.41531177);the National Natural Science Foundation of China(No.41901403);the National Science Fund for Distinguished Young Scholars of China(No.41725005);Academy of Finland,Strategic Research Council at the Academy of Finland is gratefully acknowledged through project(314312)as well as Academy of Finland through projects(334830,334829,300066).

摘　　要：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).

关 键 词：Terrestrial laser scanning(TLS) FOREST point clouds REGISTRATION 

分 类 号：H31[语言文字—英语]