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科研机构
植物研究所 [18]
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期刊论文 [18]
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2022 [2]
2020 [5]
2018 [3]
2017 [2]
2016 [4]
2015 [2]
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Geoscience... [6]
Environmen... [5]
Geography,... [4]
Imaging Sc... [4]
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专题:植物研究所
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Deciphering the contributions of spectral and structural data to wheat yield estimation from proximal sensing
期刊论文
CROP JOURNAL, 2022, 卷号: 10, 期号: 5, 页码: 1334-1345
作者:
Li, Qing
;
Jin, Shichao
;
Zang, Jingrong
;
Wang, Xiao
;
Sun, Zhuangzhuang
收藏
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浏览/下载:0/0
  |  
提交时间:2024/03/07
LiDAR
Multispectral
Yield
Phenotype
Hyper-temporal
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 269
作者:
Liu, Xiaoqiang
;
Su, Yanjun
;
Hu, Tianyu
;
Yang, Qiuli
;
Liu, Bingbing
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/03/07
Forest canopy height
GEDI
ICESat-2 ATLAS
Lidar
Spatial interpolation
Deep neural network
A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 3958-3974
作者:
Jin, Shichao
;
Sun, Yanjun
;
Zhao, Xiaoqian
;
Hu, Tianyu
;
Guo, Qinghua
收藏
  |  
浏览/下载:83/0
  |  
提交时间:2022/03/01
Digital terrain model (DTM)
deep learning
fully convolutional neural network (FCN)
ground filtering
light detection and ranging (LiDAR)
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
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/03/01
Aboveground biomass (AGB)
Degraded grassland
Machine learning
Northern agro-pastoral ecotone
Terrestrial laser scanning (TLS)
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
收藏
  |  
浏览/下载:10/0
  |  
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
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/03/01
Biomass
Phenotype
Machine learning
Terrestrial lidar
Precision agriculture
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
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2022/03/01
Ecological resources
Deep learning
Neural network
Big data
Theory and tools
Application and challenge
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
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/02/25
deep learning
detection
classification
segmentation
phenotype
Lidar (light detection and ranging)
An Ensemble of Classifiers Based on Positive and Unlabeled Data in One-Class Remote Sensing Classification
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 卷号: 11, 期号: 2, 页码: 572-584
作者:
Liu, Ran
;
Li, Wenkai
;
Liu, Xiaoping
;
Lu, Xingcheng
;
Li, Tianhong
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2022/02/25
Classifier ensemble
one-class classification
positive and unlabeled learning (PUL)
weighted average
weighted vote
No significant changes in topsoil carbon in the grasslands of northern China between the 1980s and 2000s
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 624, 页码: 1478-1487
作者:
Liu, Shangshi
;
Yang, Yuanhe
;
Shen, Haihua
;
Hu, Huifeng
;
Zhao, Xia
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/02/25
Alpine grasslands
Artificial neural network
Climate change
Random forests
Soil organic carbon
Temperate grasslands
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