中文版 | English

在结果中检索

IB-CAS

浏览/检索结果: 共12条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
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：9/0  |  提交时间：2024/03/07
Terrestrial LiDAR Phenotype  Organ segmentation  Convolutional neural networks  
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 171, 页码: 202-223
作者:  Jin, Shichao;  Sun, Xiliang;  Wu, Fangfang;  Su, Yanjun;  Li, Yumei;  Song, Shiling;  Xu, Kexin;  Ma, Qin;  Baret, Frederic;  Jiang, Dong;  Ding, Yanfeng;  Guo, Qinghua
Adobe PDF(12177Kb)  |  收藏  |  浏览/下载：75/0  |  提交时间：2023/02/24
Lidar  Traits  Phenomics  Breeding  Management  Multi-omits  
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  
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：87/0  |  提交时间：2022/03/01
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
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  
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：104/0  |  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：76/0  |  提交时间：2022/02/25
deep learning  detection  classification  segmentation  phenotype  Lidar (light detection and ranging)  
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
作者:  Guo, Qinghua;  Wu, Fangfang;  Pang, Shuxin;  Zhao, Xiaoqian;  Chen, Linhai;  Liu, Jin;  Xue, Baolin;  Xu, Guangcai;  Li, Le;  Jing, Haichun;  Chu, Chengcai
Adobe PDF(5850Kb)  |  收藏  |  浏览/下载：114/0  |  提交时间：2022/02/25
crop breeding  phenotypic traits  data fusion  LiDAR  high-throughput  integrated platform  
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
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
作者:  Tao, Shengli;  Guo, Qinghua;  Wu, Fangfang;  Li, Le;  Wang, Shaopeng;  Tang, Zhiyao;  Xue, Baolin;  Liu, Jin;  Fang, Jingyun
Adobe PDF(1766Kb)  |  收藏  |  浏览/下载：65/0  |  提交时间：2022/07/08
LiDAR  Above ground biomass (AGB)  Landsat  Scale  Pattern  Vegetation index  NDVIc