中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
地理科学与资源研究所 [3]
计算技术研究所 [1]
采集方式
OAI收割 [4]
内容类型
期刊论文 [4]
发表日期
2024 [1]
2022 [1]
2020 [1]
2018 [1]
学科主题
筛选
浏览/检索结果:
共4条,第1-4条
帮助
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
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
作者升序
作者降序
The dynamic trajectory of carbon dioxide removal from terrestrial ecosystem restoration: A critical review
期刊论文
OAI收割
AGRICULTURAL AND FOREST METEOROLOGY, 2024, 卷号: 358, 页码: 110244
作者:
Niu, Shuli
;
Zhang, Ruiyang
;
Wang, Song
;
Wu, Yanan
;
Chen, Weinan
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2024/11/19
Carbon dioxide removal
Ecosystem restoration
Dynamic trajectory
Net primary productivity
Residence time
Biotic regulation
RAID-Net: Region-Aware Image Deblurring Network Under Guidance of the Image Blur Formulation
期刊论文
OAI收割
IEEE ACCESS, 2022, 卷号: 10, 页码: 83940-83948
作者:
Liao, Lianjun
;
Zhang, Zihao
;
Xia, Shihong
  |  
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2022/12/07
Image restoration
Cameras
Convolutional neural networks
Task analysis
Adaptation models
Image edge detection
Trajectory
Attention mechanism
graph neural network
graph reasoning network
image deblur
image processing
A trajectory restoration algorithm for low-sampling-rate floating car data and complex urban road networks
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2020, 页码: 24
作者:
Li, Bozhao
;
Cai, Zhongliang
;
Kang, Mengjun
;
Su, Shiliang
;
Zhang, Shanshan
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2021/03/16
Trajectory restoration
map-matching
A* shortest path algorithm
low-sampling-rate FCD
complex road networks
Major forest increase on the Loess Plateau, China (2001-2016)
期刊论文
OAI收割
LAND DEGRADATION & DEVELOPMENT, 2018, 卷号: 29, 期号: 11, 页码: 4080-4091
作者:
Wang, Yuhang
;
Brandt, Martin
;
Zhao, Mingfei
;
Tong, Xiaowei
;
Xing, Kaixiong
  |  
收藏
  |  
浏览/下载:63/0
  |  
提交时间:2019/05/23
afforestation
ecological restoration
forest dynamics
Loess Plateau
trajectory-based approach