中文版 | English

在结果中检索

IB-CAS

浏览/检索结果: 共8条，第1-8条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 4, 页码: 2644-2658
作者:  Jin, Shichao;  Su, Yanjun;  Gao, Shang;  Wu, Fangfang;  Ma, Qin;  Xu, Kexin;  Hu, Tianyu;  Liu, Jin;  Pang, Shuxin;  Guan, Hongcan;  Zhang, Jing;  Guo, Qinghua
Adobe PDF(14928Kb)  |  收藏  |  浏览/下载：127/0  |  提交时间：2022/03/01
Classification  deep learning  LiDAR  phenotype  segmentation  structural components  
Large-Scale Geographical Variations and Climatic Controls on Crown Architecture Traits 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2020, 卷号: 125, 期号: 2
作者:  Su, Yanjun;  Hu, Tianyu;  Wang, Yongcai;  Li, Yumei;  Dai, Jingyu;  Liu, Hongyan;  Jin, Shichao;  Ma, Qin;  Wu, Jin;  Liu, Lingli;  Fang, Jingyun;  Guo, Qinghua
Adobe PDF(35082Kb)  |  收藏  |  浏览/下载：81/0  |  提交时间：2022/03/01
crown architecture  terrestrial laser scanning  climate variations  coordination  
Estimation of degraded grassland aboveground biomass using machine learning methods from terrestrial laser scanning data 期刊论文
ECOLOGICAL INDICATORS, 2020, 卷号: 108
作者:  Xu, Kexin;  Su, Yanjun;  Liu, Jin;  Hu, Tianyu;  Jin, Shichao;  Ma, Qin;  Zhai, Qiuping;  Wang, Rui;  Zhang, Jing;  Li, Yumei;  Liu, Hon An;  Guo, Qinghua
Adobe PDF(4794Kb)  |  收藏  |  浏览/下载：91/0  |  提交时间：2022/03/01
Aboveground biomass (AGB)  Degraded grassland  Machine learning  Northern agro-pastoral ecotone  Terrestrial laser scanning (TLS)  
Evaluating maize phenotype dynamics under drought stress using terrestrial lidar 期刊论文
PLANT METHODS, 2019, 卷号: 15
作者:  Su, Yanjun;  Wu, Fangfang;  Ao, Zurui;  Jin, Shichao;  Qin, Feng;  Liu, Boxin;  Pang, Shuxin;  Liu, Lingli;  Guo, Qinghua
Adobe PDF(2545Kb)  |  收藏  |  浏览/下载：84/0  |  提交时间：2022/01/06
Maize  Phenotype  Lidar  Drought stress  
The Influence of Vegetation Characteristics on Individual Tree Segmentation Methods with Airborne LiDAR Data 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 23
作者:  Yang, Qiuli;  Su, Yanjun;  Jin, Shichao;  Kelly, Maggi;  Hu, Tianyu;  Ma, Qin;  Li, Yumei;  Song, Shilin;  Zhang, Jing;  Xu, Guangcai;  Wei, Jianxin;  Guo, Qinghua
Adobe PDF(6208Kb)  |  收藏  |  浏览/下载：78/0  |  提交时间：2022/01/06
individual segmentation method  leaf area index  canopy cover  tree density  coefficient of variation of tree height  
A simple and integrated approach for fire severity assessment using bi-temporal airborne LiDAR data 期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2019, 卷号: 78, 页码: 25-38
作者:  Hu, Tianyu;  Ma, Qin;  Su, Yanjun;  Battles, John J.;  Collins, Brandon M.;  Stephens, Scott L.;  Kelly, Maggi;  Guo, Qinghua
Adobe PDF(15930Kb)  |  收藏  |  浏览/下载：78/0  |  提交时间：2022/01/06
Fire severity  Fire type  Tree canopy  Airborne LiDAR  Profile area change  
The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data 期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 8
作者:  Jin, Shichao;  Su, Yanjun;  Gao, Shang;  Hu, Tianyu;  Liu, Jin;  Guo, Qinghua
Adobe PDF(4477Kb)  |  收藏  |  浏览/下载：70/0  |  提交时间：2022/02/25
canopy height  Random Forest  LiDAR  multi-source  vegetation type  location  scale  
A Comparison of LiDAR Filtering Algorithms in Vegetated Mountain Areas 期刊论文
CANADIAN JOURNAL OF REMOTE SENSING, 2018, 卷号: 44, 期号: 4, 页码: 287-298
作者:  Zhao, Xiaoqian;  Su, Yanjun;  Li, WenKai;  Hu, Tianyu;  Liu, Jin;  Guo, Qinghua
Adobe PDF(1687Kb)  |  收藏  |  浏览/下载：97/0  |  提交时间：2022/02/25