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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
Authors:  Jin, Shichao;  Su, Yanjun;  Gao, Shang;  Wu, Fangfang;  Ma, Qin;  Xu, Kexin;  Hu, Tianyu;  Liu, Jin;  Pang, Shuxin;  Guan, Hongcan;  Zhang, Jing;  Guo, Qinghua
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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
Authors:  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
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Biomass  Phenotype  Machine learning  Terrestrial lidar  Precision agriculture  
Evaluating maize phenotype dynamics under drought stress using terrestrial lidar 期刊论文
PLANT METHODS, 2019, 卷号: 15
Authors:  Su, Yanjun;  Wu, Fangfang;  Ao, Zurui;  Jin, Shichao;  Qin, Feng;  Liu, Boxin;  Pang, Shuxin;  Liu, Lingli;  Guo, Qinghua
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Maize  Phenotype  Lidar  Drought stress  
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
Authors:  Jin, Shichao;  Su, Yanjun;  Wu, Fangfang;  Pang, Shuxin;  Gao, Shang;  Hu, Tianyu;  Liu, Jin;  Guo, Qinghua
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Light detection and ranging (LiDAR)  phenotypic traits  regional growth  segmentation  skeleton  
Crop 3D-a LiDAR based platform for 3D high-throughput crop phenotyping 期刊论文
SCIENCE CHINA-LIFE SCIENCES, 2018, 卷号: 61, 期号: 3, 页码: 328-339
Authors:  Guo, Qinghua;  Wu, Fangfang;  Pang, Shuxin;  Zhao, Xiaoqian;  Chen, Linhai;  Liu, Jin;  Xue, Baolin;  Xu, Guangcai;  Li, Le;  Jing, Haichun;  Chu, Chengcai
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crop breeding  phenotypic traits  data fusion  LiDAR  high-throughput  integrated platform  
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
Authors:  Jin, Shichao;  Su, Yanjun;  Gao, Shang;  Wu, Fangfang;  Hu, Tianyu;  Liu, Jin;  Li, Wankai;  Wang, Dingchang;  Chen, Shaojiang;  Jiang, Yuanxi;  Pang, Shuxin;  Guo, Qinghua
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deep learning  detection  classification  segmentation  phenotype  Lidar (light detection and ranging)  
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
Authors:  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
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Spatial scale and pattern dependences of aboveground biomass estimation from satellite images: a case study of the Sierra National Forest, California 期刊论文
LANDSCAPE ECOLOGY, 2016, 卷号: 31, 期号: 8, 页码: 1711-1723
Authors:  Tao, Shengli;  Guo, Qinghua;  Wu, Fangfang;  Li, Le;  Wang, Shaopeng;  Tang, Zhiyao;  Xue, Baolin;  Liu, Jin;  Fang, Jingyun
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LiDAR  Above ground biomass (AGB)  Landsat  Scale  Pattern  Vegetation index  NDVIc  
Segmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 卷号: 110, 页码: 66-76
Authors:  Tao, Shengli;  Wu, Fangfang;  Guo, Qinghua;  Wang, Yongcai;  Li, Wenkai;  Xue, Baolin;  Hu, Xueyang;  Li, Peng;  Tian, Di;  Li, Chao;  Yao, Hui;  Li, Yumei;  Xu, Guangcai;  Fang, Jingyun
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Terrestrial LiDAR  Segmentation  Shortest path  Mobile LiDAR  Metabolic ecology theory  DBSCAN  
A Geometric Method for Wood-Leaf Separation Using Terrestrial and Simulated Lidar Data 期刊论文
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2015, 卷号: 81, 期号: 10, 页码: 767-776
Authors:  Tao, Shengli;  Guo, Qinghua;  Xu, Shiwu;  Su, Yanjun;  Li, Yumei;  Wu, Fangfang
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