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科研机构
植物研究所 [13]
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期刊论文 [13]
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2022 [1]
2020 [3]
2019 [1]
2018 [4]
2015 [4]
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Imaging S... [13]
Remote Se... [13]
Geoscience... [7]
Geography,... [6]
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学科主题:Imaging Science & Photographic Technology
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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 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 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
A marker-free method for registering multi-scan terrestrial laser scanning data in forest environments
期刊论文
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:19/0
  |  
提交时间:2022/03/01
Terrestrial laser scanning
Registration
Marker-free
Forest
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
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
Retrieving 2-D Leaf Angle Distributions for Deciduous Trees From Terrestrial Laser Scanner Data
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 卷号: 56, 期号: 8, 页码: 4945-4955
作者:
Li, Yumei
;
Su, Yanjun
;
Hu, Tianyu
;
Xu, Guangcai
;
Guo, Qinghua
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/02/25
Beta-distribution model
leaf azimuthal angle
leaf inclination angle
projection coefficient model
terrestrial laser scanner (TLS)
VBRT: A novel voxel-based radiative transfer model for heterogeneous three-dimensional forest scenes
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 206, 页码: 318-335
作者:
Li, Wenkai
;
Guo, Qinghua
;
Tao, Shengli
;
Su, Yanjun
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/02/25
Radiative transfer (RT)
Monte Carlo path tracing
Voxel
High performance computing (HPC)
Light detection and ranging (LiDAR)
One-class remote sensing classification: one-class vs. binary classifiers
期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 卷号: 39, 期号: 6, 页码: 1890-1910
作者:
Deng, Xueqing
;
Li, Wenkai
;
Liu, Xiaoping
;
Guo, Qinghua
;
Newsam, Shawn
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/02/25
Lidar with multi-temporal MODIS provide a means to upscale predictions of forest biomass
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 卷号: 102, 页码: 198-208
作者:
Li, Le
;
Guo, Qinghua
;
Tao, Shengli
;
Kelly, Maggi
;
Xu, Guangcai
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2022/09/13
Lidar
Forest biomass
MODIS
Terrestrial
Scale
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