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科研机构
武汉大学 [5]
遥感与数字地球研究所 [4]
植物研究所 [4]
北京大学 [2]
北京航空航天大学 [2]
地理科学与资源研究所 [2]
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期刊论文 [24]
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2019 [4]
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Remote Sen... [4]
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Estimation of LAI with the LiDAR Technology: A Review
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 20, 页码: 28
作者:
Wang, Yao
;
Fang, Hongliang
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2021/03/16
leaf area index (LAI)
vertical foliage profile (VFP)
terrestrial laser scanning (TLS)
airborne laser scanning (ALS)
spaceborne laser scanning (SLS)
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 for 2.5-D Building Contouring From Large-Scale Residential Scenes
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 6, 页码: 4121-4145
作者:
Du, Jianli
;
Chen, Dong
;
Wang, Ruisheng
;
Peethambaran, Jiju
;
Mathiopoulos, P. Takis
收藏
  |  
浏览/下载:73/0
  |  
提交时间:2019/07/17
airborne laser scanning (ALS)
building abstraction
building contour decomposition
building contours
building regularization
large-scale airborne point clouds
LoD1 building models
Content-Sensitive Multilevel Point Cluster Construction for ALS Point Cloud Classification
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 3, 页码: 19
作者:
Xu, Zongxia
;
Zhang, Zhenxin
;
Zhong, Ruofei
;
Chen, Dong
;
Sun, Taochun
收藏
  |  
浏览/下载:78/0
  |  
提交时间:2019/05/22
ALS point cloud
content-sensitive multilevel point clusters
hierarchical classification framework
Automated fusion of forest airborne and terrestrial point clouds through canopy density analysis
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2019, 卷号: 156
作者:
Dai, Wenxia
;
Yang, Bisheng
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2019/12/05
Airborne laser scanning (ALS)
Terrestrial laser scanning (TLS)
Forest
Point clouds
Registration
A Novel Framework for 2.5-D Building Contouring From Large-Scale Residential Scenes
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 6
作者:
Du, Jianli
;
Chen, Dong
;
Wang, Ruisheng
;
Peethambaran, Jiju
;
Mathiopoulos, P. Takis
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/05
airborne laser scanning (ALS)
building abstraction
building contour decomposition
building contours
building regularization
large-scale airborne point clouds
LoD1 building models
Joint Discriminative Dictionary and Classifier Learning for ALS Point Cloud Classification
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 卷号: 56, 页码: 524-538
作者:
Zhang, Zhenxin
;
Zhang, Liqiang
;
Tan, Yumin
;
Zhang, Liang
;
Liu, Fangyu
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Airborne laser scanning (ALS) point clouds
classification
discriminative dictionary learning
hierarchical aggregation feature
point clusters
sparse coding
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
Classification of ALS Point Cloud with Improved Point Cloud Segmentation and Random Forests
期刊论文
REMOTE SENSING, 2017, 卷号: 9, 期号: 3
作者:
Ni, Huan
;
Lin, Xiangguo
;
Zhang, Jixian
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/05
airborne laser scanning
point cloud segmentation
random forests
feature extraction
feature selection
semantic
Comparison of Tree Species Classifications at the Individual Tree Level by Combining ALS Data and RGB Images Using Different Algorithms
期刊论文
REMOTE SENSING, 2016, 期号: 12
作者:
Deng, Songqiu
;
Katoh, Masato
;
Yu, Xiaowei
;
Hyyppa, Juha
;
Gao, Tian
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2017/05/11
forest resource measurement
airborne laser scanning
RGB imagery
individual tree detection
tree crown-based classification
machine learning approaches
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