网站地图 | 联系我们 | 管理系统 | 登录邮箱 | 内网办公 | English | 中国科学院    
首页 所况介绍 机构设置 科研成果 研究队伍 合作交流 研究生教育 党群园地 科学传播
 
 
 当前位置:首页 >>> 论文库

Retrieving 2-D Leaf Angle Distributions for Deciduous Trees From Terrestrial Laser Scanner Data

作 者:Li YM, Su YJ*, Hu TY, Xu GC, Guo QH*
影响因子: 4.662
刊物名称: IEEE Transactions on Geoscience and Remote Sensing
出版年份: 2018
卷: 56  期: 8   页码: 4945 - 4955

文章摘要 : 

Terrestrial laser scanning is a promising tool for estimating leaf angle (including leaf inclination and azimuthal angles) distribution (LAD). However, previous studies focus on the retrieval of leaf inclination angle distribution, very few studies have considered the distribution of leaf azimuthal angle due to the restriction of measurement techniques. In this paper, we developed a new method to obtain more accurate leaf inclination and azimuthal angle estimations based on leaf point cloud segmentation and filtration and then fit LAD functions using two-parameter Beta-distribution model. In addition, we constructed a new projection coefficient model with two parameters G (θ, φ) using Nilson's algorithm based on the accurate retrieval of LAD. To assess the influence of leaf numbers on leaf inclination and azimuthal angle estimations, we modeled 160 individual leaves and 10 trees with different leaf numbers. In addition, to validate the final results, we also sampled three magnolia trees with different leaf numbers and manually measured leaf inclination and azimuthal angles of all their leaves using an angle measurement device. All results showed that the method proposed in this paper can provide accurate leaf inclination and azimuthal angles (leaf inclination angle: R 2 = 0.98, RMSE = 24° and leaf azimuthal angle: R 2 = 0.99, RMSE = 3.44°). The simulated LAD and G (θ, φ) estimations based on these leaf inclination and azimuthal angles were strongly correlated with those obtained from ground truth measurements ( P >0.05).


| 本站导航 | 园区风光| 联系我们 |
版权所有:中国科学院植物研究所 地址:北京市海淀区香山南辛村20号 邮编:100093 电话:010-62590835
网站备案号:京ICP备05002828号       文保网安备案号:1101080078