中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 植物研究所
  3. 中国科学院植物研究所
  4. 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

文献类型：期刊论文

作者Tao, Shengli; Guo, Qinghua2; Xu, Shiwu3; Su, Yanjun2; Li, Yumei1; Wu, Fangfang1
刊名PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
出版日期2015
卷号81期号:10页码:767-776
ISSN号0099-1112
DOI10.14358/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
出版地BETHESDA
电子版国际标准刊号2374-8079
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
WOS记录号WOS:000362389000002
出版者AMER SOC PHOTOGRAMMETRY
资助机构NSF [DBI 1356077] ; National Science Foundation of China [31270563, 41471363]
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.

入库方式： OAI收割

来源：植物研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。