中文版 | English

在结果中检索

IB-CAS

浏览/检索结果: 共9条，第1-9条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
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：105/0  |  提交时间：2022/03/01
Ecological resources  Deep learning  Neural network  Big data  Theory and tools  Application and challenge  
The Chromosome-Based Rubber Tree Genome Provides New Insights into Spurge Genome Evolution and Rubber Biosynthesis 期刊论文
MOLECULAR PLANT, 2020, 卷号: 13, 期号: 2, 页码: 336-350
作者:  Liu, Jin;  Shi, Cong;  Shi, Cheng-Cheng;  Li, Wei;  Zhang, Qun-Jie;  Zhang, Yun;  Li, Kui;  Lu, Hui-Fang;  Shi, Chao;  Zhu, Si-Tao;  Xiao, Zai-Yun;  Nan, Hong;  Yue, Yao;  Zhu, Xun-Ge;  Wu, Yu;  Hong, Xiao-Ning;  Fan, Guang-Yi;  Tong, Yan;  Zhang, Dan;  Mao, Chang-Li;  Liu, Yun-Long;  Hao, Shi-Jie;  Liu, Wei-Qing;  Lv, Mei-Qi;  Zhang, Hai-Bin;  Liu, Yuan;  Hu-tang, Ge-Ran;  Wang, Jin-Peng;  Wang, Jia-Hao;  Sun, Ying-Huai;  Ni, Shu-Bang;  Chen, Wen-Bin;  Zhang, Xing-Cai;  Jiao, Yuan-Nian;  Eichler, Evan E.;  Li, Guo-Hua;  Liu, Xin;  Gao, Li-Zhi
Adobe PDF(2390Kb)  |  收藏  |  浏览/下载：172/0  |  提交时间：2022/03/01
rubber tree  rubber biosynthesis  chromosome evolution  whole-genome duplication  domestication  
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：106/0  |  提交时间：2022/03/01
Trunk architecture  Laplacian algorithm  Dijkstra algorithm  Terrestrial laser scan data  Simulated data  
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)  
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：116/0  |  提交时间：2022/02/25
crop breeding  phenotypic traits  data fusion  LiDAR  high-throughput  integrated platform  
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：82/0  |  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：69/0  |  提交时间：2022/07/08
LiDAR  Above ground biomass (AGB)  Landsat  Scale  Pattern  Vegetation index  NDVIc