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

doi:10.14358/PERS.81.10.767

CORC > 植物研究所 > 中国科学院植物研究所 > 植被与环境变化国家重点实验室

	A Geometric Method for Wood-Leaf Separation Using Terrestrial and Simulated Lidar Data
	Tao, Shengli ; Guo, Qinghua 2; Xu, Shiwu 3; Su, Yanjun 2; Li, Yumei 1; Wu, Fangfang 1
刊名	PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
	2015
卷号	81 期号:10 页码:767-776
ISSN号	0099-1112
DOI	10.14358/PERS.81.10.767
文献子类	Article
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.
学科主题	Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
电子版国际标准刊号	2374-8079
出版地	BETHESDA
WOS关键词	HYPERSPECTRAL LIDAR ; INDIVIDUAL TREES ; FOREST ; BIOMASS ; RECONSTRUCTION ; CURVES ; LEAVES
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
语种	英语
出版者	AMER SOC PHOTOGRAMMETRY
WOS记录号	WOS:000362389000002
资助机构	NSF [DBI 1356077] ; National Science Foundation of China [31270563, 41471363]
内容类型	期刊论文
源URL	[http://ir.ibcas.ac.cn/handle/2S10CLM1/25887]
专题	植被与环境变化国家重点实验室
作者单位	1.China Univ Geosci, Fac Informat Engn, Wuhan 430074, Peoples R China 2.Peking Univ, Dept Ecol, Coll Urban & Environm Sci, Beijing 100871, Peoples R China 3.Univ Calif, Sch Engn, Sierra Nevada Res Inst, Merced, CA 95343 USA 4.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
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,2015,81(10):767-776.
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,81(10),767-776.
MLA	Tao, Shengli,et al."A Geometric Method for Wood-Leaf Separation Using Terrestrial and Simulated Lidar Data".PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING 81.10(2015):767-776.