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  • 收录类型=EI x
  • 人物=张京 x

10 条 记 录,以下是 1-10

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A Novel Strategy for Constructing Large-Scale Forest Scene: Integrating Forest Hierarchical Models and Tree Growth Models to Improve the Efficiency and Stability of Forest Polymorphism Simulation被引量:4收藏 分享
作者:Lei, Kexin[1,2] Zhang, Huaiqing[1,2] Qiu, Hanqing[1,2] Yang, Tingdong[1,2] Liu, Yang[1,2]
机构:Chinese Acad Forestry;Natl Forestry & Grassland Adm
来源:FORESTS  2023
关键词:large-scale forest scenes   stand structure   forest hierarchical model   dynamic visualization simulation of growth  
A Novel 3D Tree-Modeling Method of Incorporating Small-Scale Spatial Structure Parameters in a Heterogeneous Forest Environment被引量:2收藏 分享
作者:Wang, Linlong[1,2,3] Zhang, Huaiqing[1,3] Zhang, Huacong[1,4] Yang, Tingdong[1,3] Zhang, Jing[1,3]
机构:Chinese Acad Forestry;Chinese Acad Forestry;NFGA;Chinese Acad Forestry
来源:FORESTS  2023
关键词:tree modeling   spatial structure   heterogeneous conversion forest   morphological characteristics model  
Precise Wetland Mapping in Southeast Asia for the Ramsar Strategic Plan 2016-24被引量:1收藏 分享
作者:Liu, Yang[1,2,3] Zhang, Huaiqing[1,2,3] Cui, Zeyu[1,2,3] Zuo, Yuanqing[1,2,3] Lei, Kexin[1,2,3]
机构:Chinese Acad Forestry;Natl Forestry & Grassland Adm;Dongting Lake Remote Sensing Prod Validat Stn;NFGSDC
来源:REMOTE SENSING  2022
关键词:Southeast Asia   wetland   Ramsar   SDG   GEE   Sentinel-2   wetland cover map   the Ramsar strategic plan 2016-24  
Quality assessment of shrub observation data based on TLS: A case of revegetated shrubland, Southern Qinghai-Tibetan Plateau被引量:1收藏 分享
作者:Tian, Jiarong[1,2] Li, Haidong[2,5] Sun, Xinyu[1] Zhou, Youfeng[1] Ma, Weibo[2]
机构:Nanjing Forestry Univ;Minist Ecol & Environm;JiangXi Acad Forestry;Chinese Acad Forestry;Minist Ecol & Environm
来源:LAND DEGRADATION & DEVELOPMENT  0
关键词:basic phenotypic parameters   information loss   shrub   single-scan mode   terrestrial laser scanning   topographic relief  
Constructing Coupling Model of Generalized B-Spline Curve and Crown (CMGBCC) to Explore the 3D Modeling of Chinese Fir Polymorphism被引量:1收藏 分享
作者:Cui, Zeyu[1,2,3] Zhang, Huaiqing[1,2,3] Liu, Yang[1,2,3] Zhang, Jing[1,2,3] Yang, Tingdong[1,2,3]
机构:Chinese Acad Forestry;NFGA;Natl Long Term Sci Res Base Huangfengqiao Forest M
来源:FORESTS  2023
关键词:polymorphism   3D model of Chinese fir   generalized B-spline interpolation   withered state of branch   natural pruning   crown displacement   crown shape difference  
New Coupled Canopy-Light Model (CCLM) to Improve Visual Polymorphism Simulation of Fir Morphology被引量:0收藏 分享
作者:Zuo, Yuanqing[1,2,3] Zhang, Huaiqing[1,2,3] Cui, Zeyu[1,2,3] Liu, Yang[1,2,3] Lei, Kexin[1,2,3]
机构:Chinese Acad Forestry;NFGA;Natl Long Term Sci Res Base Huangfengqiao Forest M;Guizhou Normal Univ
来源:FORESTS  2023
关键词:canopy-light model   polymorphism modeling   canopy morphology   visual simulation  
林木基因型-环境互作算法研究进展与思考被引量:0收藏 分享
作者:葛晓宁[1,2] 许新桥[3] 张怀清[1,2] 张京[1,2] 杨杰[1,2,4]
机构:中国林业科学研究院资源信息研究所;国家林业和草原局林业遥感与信息技术重点实验室;国家林业和草原局信息中心;北京林业大学;中南林业科技大学
来源:《林业科学》  2025
关键词:基因型-环境互作  林木育种  数据融合  机器学习  深度学习  
摘要:随着全球气候变化,传统的林木育种方式面临挑战,难以满足快速气候适应与资源优化配置的迫切需求。林木基因型(G)与环境(E)之间的复杂互作关系是林木生长发育研究的核心,阐明G×E互作机制以提高林木育种效率和精准度成为研究的重...
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Optimized Detection Method for Siberian crane (Grus leucogeranus) Based on Yolov5被引量:0收藏 分享
作者:Linlong, Wang[1] Huaiqing, Zhang[1] Tingdong, Yang[1] Jing, Zhang[1] Zeyu, Cui[1]
机构: Chinese Academy of Forestry
来源:Proceedings - 11th International Conference on Information Technology in Medicine and Education, ITME 2021  2021
关键词:Deep learning - Iterative methods - Image enhancement - Cranes  
A Novel Forest Dynamic Growth Visualization Method by Incorporating Spatial Structural Parameters Based on Convolutional Neural Network被引量:0收藏 分享
作者:Wang, Linlong[1,2] Zhang, Huaiqing[1] Lei, Kexin[1] Yang, Tingdong[1] Zhang, Jing[1]
机构:Chinese Acad Forestry;Chinese Acad Forestry;Qinghai Serv Support Ctr
来源:IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING  2024
关键词:Convolutional neural network (CNN)   forest growth model (FGM)   spatial structure   three-dimensional (3-D) visualization  
Fitting maximum crown width hEIght of Chinese fir through ensemble learning combined with fine spatial competition被引量:0收藏 分享
作者:Cui, Zeyu[1,2] Zhang, Huaiqing[1,2] Liu, Yang[1,2] Zhang, Jing[1,2] Fu, Rurao[1,2,3]
机构:Chinese Acad Forestry;Chinese Acad Forestry;Cent South Univ Forestry & Technol
来源:PLANT PHENOMICS  2025
关键词:Maximum Crown Width HEIght   Fine Spatial Competition   Ensemble learning   Tree 3D Structural Phenotype Parameter  
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