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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：130/0  |  提交时间：2022/03/01
Classification  deep learning  LiDAR  phenotype  segmentation  structural components  
Application of deep learning in ecological resource research: Theories, methods, and challenges 期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2020, 卷号: 63, 期号: 10, 页码: 1457-1474
作者:  Guo, Qinghua;  Jin, Shichao;  Li, Min;  Yang, Qiuli;  Xu, Kexin;  Ju, Yuanzhen;  Zhang, Jing;  Xuan, Jing;  Liu, Jin;  Su, Yanjun;  Xu, Qiang;  Liu, Yu
Adobe PDF(4690Kb)  |  收藏  |  浏览/下载：102/0  |  提交时间：2022/03/01
Ecological resources  Deep learning  Neural network  Big data  Theory and tools  Application and challenge  
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：93/0  |  提交时间：2022/03/01
Aboveground biomass (AGB)  Degraded grassland  Machine learning  Northern agro-pastoral ecotone  Terrestrial laser scanning (TLS)  
Retrieval of tree branch architecture attributes from terrestrial laser scan data using a Laplacian algorithm 期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2020, 卷号: 284
作者:  Li, Yumei;  Su, Yanjun;  Zhao, Xiaoxia;  Yang, Mohan;  Hu, Tianyu;  Zhang, Jing;  Liu, Jin;  Liu, Min;  Guo, Qinghua
Adobe PDF(4327Kb)  |  收藏  |  浏览/下载：105/0  |  提交时间：2022/03/01
Trunk architecture  Laplacian algorithm  Dijkstra algorithm  Terrestrial laser scan data  Simulated data  
Stem-Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 3, 页码: 1336-1346
作者:  Jin, Shichao;  Su, Yanjun;  Wu, Fangfang;  Pang, Shuxin;  Gao, Shang;  Hu, Tianyu;  Liu, Jin;  Guo, Qinghua
Adobe PDF(7737Kb)  |  收藏  |  浏览/下载：105/0  |  提交时间：2022/01/06
Light detection and ranging (LiDAR)  phenotypic traits  regional growth  segmentation  skeleton  
Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms 期刊论文
FRONTIERS IN PLANT SCIENCE, 2018, 卷号: 9
作者:  Jin, Shichao;  Su, Yanjun;  Gao, Shang;  Wu, Fangfang;  Hu, Tianyu;  Liu, Jin;  Li, Wankai;  Wang, Dingchang;  Chen, Shaojiang;  Jiang, Yuanxi;  Pang, Shuxin;  Guo, Qinghua
Adobe PDF(2278Kb)  |  收藏  |  浏览/下载：77/0  |  提交时间：2022/02/25
deep learning  detection  classification  segmentation  phenotype  Lidar (light detection and ranging)  
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：73/0  |  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：100/0  |  提交时间：2022/02/25
An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China 期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2017, 卷号: 38, 期号: 8-10, 页码: 2954-2972
作者:  Guo, Qinghua;  Su, Yanjun;  Hu, Tianyu;  Zhao, Xiaoqian;  Wu, Fangfang;  Li, Yumei;  Liu, Jin;  Chen, Linhai;  Xu, Guangcai;  Lin, Guanghui;  Zheng, Yi;  Lin, Yiqiong;  Mi, Xiangcheng;  Fei, Lin;  Wang, Xugao
Adobe PDF(2839Kb)  |  收藏  |  浏览/下载：81/0  |  提交时间：2022/03/28
Global patterns of woody residence time and its influence on model simulation of aboveground biomass 期刊论文
GLOBAL BIOGEOCHEMICAL CYCLES, 2017, 卷号: 31, 期号: 5, 页码: 821-835
作者:  Xue, Bao-Lin;  Guo, Qinghua;  Hu, Tianyu;  Xiao, Jingfeng;  Yang, Yuanhe;  Wang, Guoqiang;  Tao, Shengli;  Su, Yanjun;  Liu, Jin;  Zhao, Xiaoqian
Adobe PDF(2239Kb)  |  收藏  |  浏览/下载：87/0  |  提交时间：2022/03/28