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科研机构
植物研究所 [19]
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期刊论文 [19]
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2022 [2]
2020 [2]
2019 [4]
2018 [8]
2016 [2]
2015 [1]
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Remote Se... [19]
Imaging S... [18]
Environme... [10]
Geoscienc... [10]
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学科主题:Remote Sensing
专题:植物研究所
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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
Loess Landslide Detection Using Object Detection Algorithms in Northwest China
期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 5
作者:
Ju, Yuanzhen
;
Xu, Qiang
;
Jin, Shichao
;
Li, Weile
;
Su, Yanjun
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/03/07
loess landslide
google earth image
deep learning
automatic identification
object detection
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)
A Novel Framework to Automatically Fuse Multiplatform LiDAR Data in Forest Environments Based on Tree Locations
期刊论文
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:19/0
  |  
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
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
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2022/01/06
Light detection and ranging (LiDAR)
phenotypic traits
regional growth
segmentation
skeleton
An Object-Based Strategy for Improving the Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation-Mapping Applications
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 24
作者:
Guan, Hongcan
;
Su, Yanjun
;
Hu, Tianyu
;
Chen, Jin
;
Guo, Qinghua
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/01/06
spatiotemporal data fusion
object-based framework
similar pixel
vegetation mapping
The Influence of Vegetation Characteristics on Individual Tree Segmentation Methods with Airborne LiDAR Data
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 23
作者:
Yang, Qiuli
;
Su, Yanjun
;
Jin, Shichao
;
Kelly, Maggi
;
Hu, Tianyu
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/01/06
individual segmentation method
leaf area index
canopy cover
tree density
coefficient of variation of tree height
Contrasting the Performance of Eight Satellite-Based GPP Models in Water-Limited and Temperature-Limited Grassland Ecosystems
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 11
作者:
Zhang, Liangxia
;
Zhou, Decheng
;
Fan, Jiangwen
;
Guo, Qun
;
Chen, Shiping
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2022/01/06
gross primary productivity
light use efficiency model
satellite remote sensing
MODIS
EVI
eddy covariance
grassland ecosystem
temperate steppe
alpine meadow
Evaluating the Performance of Sentinel-2, Landsat 8 and Pleiades-1 in Mapping Mangrove Extent and Species
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 9
作者:
Wang, Dezhi
;
Wan, Bo
;
Qiu, Penghua
;
Su, Yanjun
;
Guo, Qinghua
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/02/25
mangroves
species
Sentinel-2
Landsat 8
Pleiades-1
random forest
The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 8
作者:
Jin, Shichao
;
Su, Yanjun
;
Gao, Shang
;
Hu, Tianyu
;
Liu, Jin
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/02/25
canopy height
Random Forest
LiDAR
multi-source
vegetation type
location
scale
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