A Geometric Method for Wood-Leaf Separation Using Terrestrial and   Simulated Lidar Data

doi:10.14358/PERS.81.10.767

CORC > 北京大学 > 城市与环境学院

	A Geometric Method for Wood-Leaf Separation Using Terrestrial and Simulated Lidar Data
	Tao, Shengli ; Guo, Qinghua ; Xu, Shiwu ; Su, Yanjun ; Li, Yumei ; Wu, Fangfang
刊名	PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
	2015
关键词	SUPERCONTINUUM LASER SOURCE GROUND-BASED LIDAR WAVE-FORM LIDAR HYPERSPECTRAL LIDAR INDIVIDUAL TREES SCANNING LIDAR FOREST BIOMASS RECONSTRUCTION CURVES
DOI	10.14358/PERS.81.10.767
英文摘要	Terrestrial light detection and ranging (lidar) can be used to record the three-dimensional structures of trees. Wood-leaf separation, which aims to classify lidar points into wood and leaf components, is an essential prerequisite for deriving individual tree characteristics. Previous research has tended to use intensity (including a multi-wavelength approach) and waveform information for wood-leaf separation, but use of the most fundamental information from a lidar point cloud, i.e., the x-, y-, and z- coordinates of each point, for this purpose has been poorly explored. In this study, we introduce a geometric method for wood-leaf separation using the x-, y-, and z-coordinates of each point. The separation results indicate that first-, second-, and third-order branches can be extracted from the raw point cloud by this new method, suggesting that it might provide a promising solution for wood-leaf separation.; NSF [DBI 1356077]; National Science Foundation of China [31270563, 41471363]; SCI(E); EI; ARTICLE; guo.qinghua@gmail.com; 10; 767-776; 81
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/415944]
专题	城市与环境学院
推荐引用方式 GB/T 7714	Tao, Shengli,Guo, Qinghua,Xu, Shiwu,et al. A Geometric Method for Wood-Leaf Separation Using Terrestrial and Simulated Lidar Data[J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING,2015.
APA	Tao, Shengli,Guo, Qinghua,Xu, Shiwu,Su, Yanjun,Li, Yumei,&Wu, Fangfang.(2015).A Geometric Method for Wood-Leaf Separation Using Terrestrial and Simulated Lidar Data.PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING.
MLA	Tao, Shengli,et al."A Geometric Method for Wood-Leaf Separation Using Terrestrial and Simulated Lidar Data".PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2015).