中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
植物研究所 [14]
采集方式
OAI收割 [14]
内容类型
期刊论文 [14]
发表日期
2020 [14]
学科主题
Imaging Sc... [5]
Remote Sen... [5]
Geography,... [4]
Engineerin... [3]
Environmen... [3]
Geochemist... [3]
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浏览/检索结果:
共14条,第1-10条
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发表日期:2020
专题:植物研究所
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A marker-free method for registering multi-scan terrestrial laser scanning data in forest environments
期刊论文
OAI收割
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
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2022/01/06
Terrestrial laser scanning
Registration
Marker-free
Forest
Estimation of degraded grassland aboveground biomass using machine learning methods from terrestrial laser scanning data
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2020, 卷号: 108
作者:
Xu, Kexin
;
Su, Yanjun
;
Liu, Jin
;
Hu, Tianyu
;
Jin, Shichao
  |  
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2022/01/06
Aboveground biomass (AGB)
Degraded grassland
Machine learning
Northern agro-pastoral ecotone
Terrestrial laser scanning (TLS)
An updated Vegetation Map of China (1:1000000)
期刊论文
OAI收割
SCIENCE BULLETIN, 2020, 卷号: 65, 期号: 13, 页码: 1125-1136
作者:
Su, Yanjun
;
Guo, Qinghua
;
Hu, Tianyu
;
Guan, Hongcan
;
Jin, Shichao
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/01/06
Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks
期刊论文
OAI收割
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
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/01/06
Classification
deep learning
LiDAR
phenotype
segmentation
structural components
Macro-scale variation and environmental predictors of flowering and fruiting phenology in the Chinese angiosperm flora
期刊论文
OAI收割
JOURNAL OF BIOGEOGRAPHY, 2020, 卷号: 47, 期号: 11, 页码: 2303-2314
作者:
Du, Yanjun
;
Mao, Lingfeng
;
Queenborough, Simon A.
;
Primack, Richard
;
Comita, Liza S.
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2022/01/06
climatic constraints
flowering phenology
fruiting phenology
functional biogeography
latitudinal gradient
macroecology
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level
期刊论文
OAI收割
PLANT METHODS, 2020, 卷号: 16, 期号: 1
作者:
Jin, Shichao
;
Su, Yanjun
;
Song, Shilin
;
Xu, Kexin
;
Hu, Tianyu
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/01/06
Biomass
Phenotype
Machine learning
Terrestrial lidar
Precision agriculture
A Novel Framework to Automatically Fuse Multiplatform LiDAR Data in Forest Environments Based on Tree Locations
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 3, 页码: 2165-2177
作者:
Guan, Hongcan
;
Su, Yanjun
;
Hu, Tianyu
;
Wang, Rui
;
Ma, Qin
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/03/01
Vegetation
Laser radar
Forestry
Tin
Three-dimensional displays
Unmanned aerial vehicles
Registers
Forest
multiplatform light detection and ranging (LiDAR)
registration
tree location
An updated Vegetation Map of China (1:1000000)
期刊论文
OAI收割
SCIENCE BULLETIN, 2020, 卷号: 65, 期号: 13, 页码: 1125-1136
作者:
Su, Yanjun
;
Guo, Qinghua
;
Hu, Tianyu
;
Guan, Hongcan
;
Jin, Shichao
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/03/01
Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks
期刊论文
OAI收割
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
  |  
收藏
  |  
浏览/下载:11/0
  |  
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
OAI收割
PLANT METHODS, 2020, 卷号: 16, 期号: 1
作者:
Jin, Shichao
;
Su, Yanjun
;
Song, Shilin
;
Xu, Kexin
;
Hu, Tianyu
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/03/01
Biomass
Phenotype
Machine learning
Terrestrial lidar
Precision agriculture