×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
山东大学 [3]
武汉大学 [3]
自然资源部第一海洋研... [3]
北京大学 [2]
大连理工大学 [2]
合肥物质科学研究院 [2]
更多...
内容类型
期刊论文 [18]
SCI/SSCI论文 [1]
会议论文 [1]
其他 [1]
发表日期
2022 [2]
2020 [1]
2019 [6]
2018 [4]
2017 [1]
2016 [2]
更多...
学科主题
Imaging Sc... [2]
Remote Sen... [2]
Engineerin... [1]
Environmen... [1]
Geography,... [1]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共21条,第1-10条
帮助
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Application of data assimilation technology in source apportionment of PM2.5 during winter haze episodes in the Beijing-Tianjin-Hebei region in China
期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2022, 卷号: 13
作者:
Sun, Tingting
;
Zhang, Tianshu
;
Xiang, Yan
;
Fan, Guangqiang
;
Fu, Yibin
收藏
  |  
浏览/下载:229/0
  |  
提交时间:2022/12/23
Lidar network
CMAQ-ISAM
Data assimilation
The beijing-tianjin-hebei region
PM2
5
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
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
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)
Feasibility analysis for acquiring visibility based on lidar signal using genetic algorithm-optimized back propagation algorithm
期刊论文
CHINESE PHYSICS B, 2019, 卷号: 28, 期号: 2, 页码: 5
作者:
Sun, Guo-Dong
;
Qin, Lai-An
;
Hou, Zai-Hong
;
Jing, Xu
;
He, Feng
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/05/21
visibility
neural network
lidar signals
extinction coefficient
LiDAR Data Classification Using Spatial Transformation and CNN
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2019, 卷号: 16, 期号: 1, 页码: 125-129
作者:
He, Xin
;
Wang, Aili
;
Ghamisi, Pedram
;
Li, Guoyu
;
Chen, Yushi
收藏
  |  
浏览/下载:83/0
  |  
提交时间:2019/10/09
Convolutional neural networks (CNNs)
deep learning
feature extraction
light detection and ranging (LiDAR)
morphological profile (MP)
spatial transformation network (STN)
Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 12
作者:
Zhang, Linjing
;
Shao, Zhenfeng
;
Liu, Jianchen
;
Cheng, Qimin
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/05
LiDAR
Landsat 8 OLI
combined optical and LiDAR indices
synergy
Stacked Sparse Autoencoder network (SSAE)
forest aboveground biomass (AGB)
Design and simulation of decoupling control for attitude angle stabilization device of helicopter-borne LiDAR
期刊论文
14TH NATIONAL CONFERENCE ON LASER TECHNOLOGY AND OPTOELECTRONICS (LTO 2019), 2019, 卷号: 11170
作者:
Wang Jianjun
;
Li Yunlong
;
Qiao Jianwei
;
Xu Wenshuo
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/11
Airborne LiDAR
attitude angle stabilization device
decoupling control
neural network inverse system
control system simulation
compound
control
A Hierarchical Multiscale Super-Pixel-Based Classification Method for Extracting Urban Impervious Surface Using Deep Residual Network From World View-2 and LiDAR Data
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 1, 页码: 210-222
作者:
Wu, Mengfan
;
Zhao, Xiangwei
;
Sun, Zhongchang
;
Guo, Huadong
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/11
Deep residual network
impervious surface
light detection and ranging
(LiDAR)
multiscale
Spatial Pyramid Pooling (SPP-net)
super pixel
WorldView-2
Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 12
作者:
Zhang, Linjing
;
Shao, Zhenfeng
;
Liu, Jianchen
;
Cheng, Qimin
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/11
LiDAR
Landsat 8 OLI
combined optical and LiDAR indices
synergy
Stacked Sparse Autoencoder network (SSAE)
forest aboveground biomass
(AGB)
Comparative study of wet channel network extracted from LiDAR data under different climate conditions
期刊论文
HYDROLOGY RESEARCH, 2018, 卷号: 49, 页码: 1101-1119
作者:
Liu, Changjun
;
Wang, Longfan
;
Xin, Zhuohang
;
Li, Yu
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
climate
human impact
LiDAR
temporal stream
valley network
wet channel network
©版权所有 ©2017 CSpace - Powered by
CSpace