×
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
植物研究所 [13]
遥感与数字地球研究... [12]
南海海洋研究所 [3]
理论物理研究所 [3]
自然资源部第一海洋研... [3]
云南天文台 [2]
更多...
内容类型
期刊论文 [40]
会议论文 [2]
发表日期
2022 [1]
2021 [1]
2020 [3]
2019 [4]
2018 [3]
2017 [2]
更多...
学科主题
Remote Se... [42]
Imaging S... [20]
Engineerin... [6]
Environmen... [6]
Engineerin... [4]
Geography,... [4]
更多...
×
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42条,第1-10条
帮助
限定条件
学科主题:Remote Sensing
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
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
New Forest Aboveground Biomass Maps of China Integrating Multiple Datasets
期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 15, 页码: -
作者:
Chang, Zhongbing
;
Hobeichi, Sanaa
;
Wang, Ying-Ping
;
Tang, Xuli
;
Abramowitz, Gab
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2021/09/08
forest aboveground biomass
carbon stock
field measurements
remote sensing
China
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)
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
Dynamic Synthetic Minority Over-Sampling Technique-Based Rotation Forest for the Classification of Imbalanced Hyperspectral Data
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 7, 页码: 2159-2169
作者:
Feng, Wei
;
Dauphin, Gabriel
;
Huang, Wenjiang
;
Quan, Yinghui
;
Bao, Wenxing
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2020/06/16
ENSEMBLES
SELECTION
SMOTE
Dynamic Synthetic Minority Over-Sampling Technique-Based Rotation Forest for the Classification of Imbalanced Hyperspectral Data
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 7, 页码: 2159-2169
作者:
Feng, Wei
;
Dauphin, Gabriel
;
Huang, Wenjiang
;
Quan, Yinghui
;
Bao, Wenxing
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2020/11/26
ENSEMBLES
SELECTION
SMOTE
Dynamic Synthetic Minority Over-Sampling Technique-Based Rotation Forest for the Classification of Imbalanced Hyperspectral Data
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 7, 页码: 2159-2169
作者:
Feng, Wei
;
Dauphin, Gabriel
;
Huang, Wenjiang
;
Quan, Yinghui
;
Bao, Wenxing
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/11/26
ENSEMBLES
SELECTION
SMOTE
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
Impacts of Insufficient Observations on the Monitoring of Short- and Long-Term Suspended Solids Variations in Highly Dynamic Waters, and Implications for an Optimal Observation Strategy
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 2, 页码: -345
作者:
Zhou, Q
;
Tian, LQ
;
Wai, OWH
;
Li, J
;
Sun, ZH
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2018/09/03
coastal waters
suspended solids
remote sensing
sampling strategy
high frequency
©版权所有 ©2017 CSpace - Powered by
CSpace