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中国科学院海洋研究所机构知识库
Knowledge Management System Of Institute of Oceanology, Chinese Academy of Sciences
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海洋环流与波动重点... [10]
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徐永生 [2]
李晓龙 [1]
黄超 [1]
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期刊论文 [10]
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2023 [10]
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专题:海洋环流与波动重点实验室
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DeepBlue: Advanced convolutional neural network applications for ocean remote sensing
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2023, 页码: 24
作者:
Wang, Haoyu
;
Li, Xiaofeng
Adobe PDF(4818Kb)
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收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/04/07
Retrieval of Subsurface Velocities in the Southern Ocean from Satellite Observations
期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 24, 页码: 19
作者:
Xiang, Liang
;
Xu, Yongsheng
;
Sun, Hanwei
;
Zhang, Qingjun
;
Zhang, Liqiang
;
Zhang, Lin
;
Zhang, Xiangguang
;
Huang, Chao
;
Zhao, Dandan
Adobe PDF(4576Kb)
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收藏
  |  
浏览/下载:12/0
  |  
提交时间:2024/04/07
subsurface velocity
light gradient boosting machine (LightGBM)
The Southern Ocean
satellite observations
long-term variability
Enhanced Impact of Land Reclamation on the Tide in the Guangxi Beibu Gulf
期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 21, 页码: 20
作者:
Lu, Jingfang
;
Zhang, Yibo
;
Cao, Ruichen
;
Lv, Xianqing
;
Xu, Minjie
;
Gao, Guandong
;
Liu, Qiang
Adobe PDF(12662Kb)
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2024/04/07
Guangxi Beibu Gulf
movable water bodies boundary
reclamation projects
spatio-temporal characteristics
hydrodynamics
drivers
Global estimation of phytoplankton pigment concentrations from satellite data using a deep-learning-based model
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2023, 卷号: 294, 页码: 16
作者:
Li, Xiaolong
;
Yang, Yi
;
Ishizaka, Joji
;
Li, Xiaofeng
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2023/12/13
Phytoplankton pigments
Remote sensing
Deep learning
Satellite
Global Ocean
Phytoplankton community
El Nino
Two-Dimensional Numerical Simulation of Tide and Tidal Current of Eight Major Tidal Constituents in the Bohai, Yellow, and East China Seas
期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 15, 页码: 20
作者:
Liu, Zizhou
;
Jiao, Shengyi
;
Liu, Xingchuan
;
Lv, Xianqing
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2023/12/13
tide
tidal current
satellite altimeter observations
ROMS
Validation and Evaluation of GRACE-FO Estimates with In Situ Bottom Pressure Array Measurements in the South China Sea
期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 11, 页码: 17
作者:
Wang, Xuecheng
;
Zheng, Hua
;
Zhu, Xiao-Hua
;
Zhao, Ruixiang
;
Wang, Min
;
Chen, Juntian
;
Ma, Yunlong
;
Nan, Feng
;
Yu, Fei
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2023/12/07
Gravity Recovery and Climate Experiment
pressure-recording inverted echo sounder
abyssal circulation
ocean bottom pressure
South China Sea
Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 15
作者:
Ren, Yibin
;
Li, Xiaofeng
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2023/12/13
Predictive models
Atmospheric modeling
Sea ice
Numerical models
Arctic
Ocean temperature
Data models
Deep learning
Pan-Arctic
physically constrained loss function
sea ice concentration (SIC) prediction
subseasonal scale
Exploiting Frequency-Domain Information of GNSS Reflectometry for Sea Surface Wind Speed Retrieval
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 13
作者:
Chen, Keran
;
Zhou, Yuan
;
Li, Shuoshi
;
Wang, Ping
;
Li, Xiaofeng
收藏
  |  
浏览/下载:68/0
  |  
提交时间:2023/12/13
Cyclone global navigation satellite system (CyGNSS)
deep learning
frequency domain
global navigation satellite system reflectometry (GNSS-R)
wind speed retrieval
Hyperspectral Band Selection With Iterative Graph Autoencoder
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 13
作者:
Zhou, Yuan
;
Yao, Qingren
;
Huo, Shuwei
;
Li, Xiaofeng
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2023/12/07
Feature extraction
Iterative methods
Symmetric matrices
Hyperspectral imaging
Convolution
Correlation
Task analysis
Graph autoencoder (GAE)
graph representation
hyperspectral band selection (BS)
representativeness
Recovering Bathymetry From Satellite Altimetry-Derived Gravity by Fully Connected Deep Neural Network
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2023, 卷号: 20, 页码: 5
作者:
Yang, Lei
;
Liu, Min
;
Liu, Na
;
Guo, Jinyun
;
Lin, Lina
;
Zhang, Yuyuan
;
Du, Xing
;
Xu, Yongsheng
;
Zhu, Chengcheng
;
Wang, Yongkang
收藏
  |  
浏览/下载:145/0
  |  
提交时间:2023/12/07
Gravity
Bathymetry
Satellites
Geology
Altimetry
Geologic measurements
Sea measurements
convolutional neural network (CNN)
fully connected deep neural network (FC-DNN)
gravity
gravity-geological method
satellite altimetry