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科研机构
植物研究所 [11]
内容类型
期刊论文 [11]
发表日期
2022 [1]
2020 [2]
2018 [1]
2016 [4]
2015 [3]
学科主题
Geography... [11]
Geoscience... [9]
Remote Sen... [9]
Imaging Sc... [8]
Ecology [2]
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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
  |  
浏览/下载:0/0
  |  
提交时间:2024/03/07
Mobile mapping system
Street tree
Shape
Aesthetical value
Greenness
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 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
Quantifying individual tree growth and tree competition using bi-temporal airborne laser scanning data: a case study in the Sierra Nevada Mountains, California
期刊论文
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2018, 卷号: 11, 期号: 5, 页码: 485-503
作者:
Ma, Qin
;
Su, Yanjun
;
Tao, Shengli
;
Guo, Qinghua
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/02/25
Airborne Laser Scanning
change detection
tree growth
tree competition
Sierra Nevada
Spatial scale and pattern dependences of aboveground biomass estimation from satellite images: a case study of the Sierra National Forest, California
期刊论文
LANDSCAPE ECOLOGY, 2016, 卷号: 31, 期号: 8, 页码: 1711-1723
作者:
Tao, Shengli
;
Guo, Qinghua
;
Wu, Fangfang
;
Li, Le
;
Wang, Shaopeng
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2022/07/08
LiDAR
Above ground biomass (AGB)
Landsat
Scale
Pattern
Vegetation index
NDVIc
Improved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2016, 卷号: 117, 页码: 79-91
作者:
Zhao, Xiaoqian
;
Guo, Qinghua
;
Su, Yanjun
;
Xue, Baolin
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2022/07/08
Light detection and ranging
Ground filtering
Ground points
Triangulated irregular network
Digital terrain model
Improved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2016, 卷号: 117
作者:
Zhao, Xiaoqian
;
Guo, Qinghua
;
Su, Yanjun
;
Xue, Baolin
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2022/07/05
Light detection and ranging
Ground filtering
Ground points
Triangulated irregular network
Digital terrain model
Spatial scale and pattern dependences of aboveground biomass estimation from satellite images: a case study of the Sierra National Forest, California
期刊论文
LANDSCAPE ECOLOGY, 2016, 卷号: 31, 期号: 8
作者:
Tao, Shengli
;
Guo, Qinghua
;
Wu, Fangfang
;
Li, Le
;
Wang, Shaopeng
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2022/07/05
LiDAR
Above ground biomass (AGB)
Landsat
Scale
Pattern
Vegetation index
NDVIc
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
Segmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 卷号: 110, 页码: 66-76
作者:
Tao, Shengli
;
Wu, Fangfang
;
Guo, Qinghua
;
Wang, Yongcai
;
Li, Wenkai
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2022/09/13
Terrestrial LiDAR
Segmentation
Shortest path
Mobile LiDAR
Metabolic ecology theory
DBSCAN
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