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科研机构
植物研究所 [41]
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期刊论文 [41]
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2022 [4]
2020 [7]
2019 [5]
2018 [11]
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Remote Se... [41]
Imaging S... [34]
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学科主题:Remote Sensing
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Quantifying the shape of urban street trees and evaluating its influence on their aesthetic functions based on mobile lidar data
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2022, 卷号: 184, 页码: 203-214
作者:
Hu, Tianyu
;
Wei, Dengjie
;
Su, Yanjun
;
Wang, Xudong
;
Zhang, Jing
收藏
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浏览/下载:0/0
  |  
提交时间:2024/03/07
Mobile mapping system
Street tree
Shape
Aesthetical value
Greenness
A novel entropy-based method to quantify forest canopy structural complexity from multiplatform lidar point clouds
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 282
作者:
Liu, Xiaoqiang
;
Ma, Qin
;
Wu, Xiaoyong
;
Hu, Tianyu
;
Liu, Zhonghua
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/03/07
Forest canopy structural complexity
Entropy
Multiplatform lidar point clouds
Mann-Kendall test
Kernel density estimation
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
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  |  
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
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  |  
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 Framework for Land Use Scenes Classification Based on Landscape Photos
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 6124-6141
作者:
Xu, Shiwu
;
Zhang, Shihui
;
Zeng, Jue
;
Li, Tingyu
;
Guo, Qinghua
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/03/01
Semantics
Remote sensing
Image analysis
Image segmentation
Object recognition
Machine learning
Forestry
Deep convolutional neural networks (DCNNs)
landscape photos
land survey
land use scene classification
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
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  |  
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)
Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots, UAV-LiDAR data and Sentinel-2 imagery
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 卷号: 85
作者:
Wang, Dezhi
;
Wan, Bo
;
Liu, Jing
;
Su, Yanjun
;
Guo, Qinghua
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/03/01
Mangroves
Aboveground biomass
UAV-LiDAR
Sentinel-2
Random forest
Mapping the Global Mangrove Forest Aboveground Biomass Using Multisource Remote Sensing Data
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 10
作者:
Hu, Tianyu
;
Zhang, YingYing
;
Su, Yanjun
;
Zheng, Yi
;
Lin, Guanghui
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/03/01
mangrove
LiDAR
random forest
GLAS
aboveground biomass
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
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
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