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Automatic segmentation of stem and leaf components and individual maize plants in field terrestrial LiDAR data using convolutional neural networks 期刊论文
CROP JOURNAL, 2022, 卷号: 10, 期号: 5, 页码: 1239-1250
作者:  Ao, Zurui;  Wu, Fangfang;  Hu, Saihan;  Sun, Ying;  Guo, Yanjun;  Guo, Qinghua;  Xin, Qinchuan
Adobe PDF(2926Kb)  |  收藏  |  浏览/下载：13/0  |  提交时间：2024/03/07
Terrestrial LiDAR Phenotype  Organ segmentation  Convolutional neural networks  
From canopy complementarity to asymmetric competition: The negative relationship between structural diversity and productivity during succession 期刊论文
JOURNAL OF ECOLOGY, 2022, 卷号: 110, 期号: 2, 页码: 457-465
作者:  Yi, Xiaoxia;  Wang, Ningning;  Ren, Haibao;  Yu, Jianping;  Hu, Tianyu;  Su, Yanjun;  Mi, Xiangcheng;  Guo, Qinghua;  Ma, Keping
Adobe PDF(927Kb)  |  收藏  |  浏览/下载：15/0  |  提交时间：2024/03/07
asymmetric competition  canopy structural diversity  coarse woody productivity  community composition  disturbance regime  leaf area index  species diversity  
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：135/0  |  提交时间：2022/03/01
Classification  deep learning  LiDAR  phenotype  segmentation  structural components  
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level 期刊论文
PLANT METHODS, 2020, 卷号: 16, 期号: 1
作者:  Jin, Shichao;  Su, Yanjun;  Song, Shilin;  Xu, Kexin;  Hu, Tianyu;  Yang, Qiuli;  Wu, Fangfang;  Xu, Guangcai;  Ma, Qin;  Guan, Hongcan;  Pang, Shuxin;  Li, Yumei;  Guo, Qinghua
Adobe PDF(4774Kb)  |  收藏  |  浏览/下载：99/0  |  提交时间：2022/03/01
Biomass  Phenotype  Machine learning  Terrestrial lidar  Precision agriculture  
A marker-free method for registering multi-scan terrestrial laser scanning data in forest environments 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 166, 页码: 82-94
作者:  Guan, Hongcan;  Su, Yanjun;  Sun, Xiliang;  Xu, Guangcai;  Li, Wenkai;  Ma, Qin;  Wu, Xiaoyong;  Wu, Jin;  Liu, Lingli;  Guo, Qinghua
Adobe PDF(11275Kb)  |  收藏  |  浏览/下载：98/0  |  提交时间：2022/03/01
Terrestrial laser scanning  Registration  Marker-free  Forest  
Drought-modulated allometric patterns of trees in semi-arid forests 期刊论文
COMMUNICATIONS BIOLOGY, 2020, 卷号: 3, 期号: 1
作者:  Dai, Jingyu;  Liu, Hongyan;  Wang, Yongcai;  Guo, Qinghua;  Hu, Tianyu;  Quine, Timothy;  Green, Sophie;  Hartmann, Henrik;  Xu, Chongyang;  Liu, Xu;  Jiang, Zihan
Adobe PDF(4012Kb)  |  收藏  |  浏览/下载：90/0  |  提交时间：2022/03/01
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：112/0  |  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：110/0  |  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：85/0  |  提交时间：2022/02/25
deep learning  detection  classification  segmentation  phenotype  Lidar (light detection and ranging)  
Quantifying individual tree growth and tree competition using bi-temporal airborne laser scanning data: a case study in the Sierra Nevada Mountains, California 期刊论文
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2018, 卷号: 11, 期号: 5, 页码: 485-503
作者:  Ma, Qin;  Su, Yanjun;  Tao, Shengli;  Guo, Qinghua
Adobe PDF(4277Kb)  |  收藏  |  浏览/下载：107/0  |  提交时间：2022/02/25
Airborne Laser Scanning  change detection  tree growth  tree competition  Sierra Nevada