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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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Biological characters identification for hard clam larva based on the improved YOLOX-s
期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 卷号: 212, 页码: 8
作者:
Wang, Yaxin
;
Wu, Haiyun
;
Hua, Xiuping
;
Ren, Dongyue
;
Li, Yang
;
Mu, Zhimin
;
Xu, Wei
;
Wei, Yong
;
Zhang, Tao
;
Jiang, Yongcheng
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2023/12/13
Hard clam larva
YOLOX-s
Biological characters
Convolutional block attention mechanism
Deep learning
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:27/0
  |  
提交时间:2023/12/13
Phytoplankton pigments
Remote sensing
Deep learning
Satellite
Global Ocean
Phytoplankton community
El Nino
A Transformer-Based Deep Learning Model for Successful Predictions of the 2021 Second-Year La Nina Condition
期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2023, 卷号: 50, 期号: 12, 页码: 10
作者:
Gao, Chuan
;
Zhou, Lu
;
Zhang, Rong-Hua
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  |  
浏览/下载:51/0
  |  
提交时间:2023/11/30
the 2021 second-year cooling condition
a transformer-based deep learning model
3D multivariate prediction
subsurface thermal effect
comparison with dynamical models
Using a deep-learning approach to infer and forecast the Indonesian Throughflow transport from sea surface height
期刊论文
FRONTIERS IN MARINE SCIENCE, 2023, 卷号: 10, 页码: 10
作者:
Xin, Linchao
;
Hu, Shijian
;
Wang, Fan
;
Xie, Wenhong
;
Hu, Dunxin
;
Dong, Changming
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2023/12/13
Indonesian Throughflow
sea surface height
neural network
deep learning
CNN
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:18/0
  |  
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:25/0
  |  
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
Recovering Gravity from Satellite Altimetry Data Using Deep Learning Network
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 11
作者:
Zhu, Chengcheng
;
Yang, Lei
;
Bian, Hongwei
;
Li, Houpu
;
Guo, Jinyun
;
Liu, Na
;
Lin, Lina
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2023/12/13
Gravity
Deep learning
Sea measurements
Satellites
Underwater vehicles
Training
Data models
gravity anomaly
multichannel convolutional neural network (MCCNN)
satellite altimetry
Index Terms
submarine topography
An Embedding Skeleton for Fish Detection and Marine Organisms Recognition
期刊论文
SYMMETRY-BASEL, 2022, 卷号: 14, 期号: 6, 页码: 18
作者:
Zhu, Jinde
;
He, Wenwu
;
Weng, Weidong
;
Zhang, Tao
;
Mao, Yuze
;
Yuan, Xiutang
;
Ma, Peizhen
;
Mao, Guojun
收藏
  |  
浏览/下载:121/0
  |  
提交时间:2022/08/17
deep learning
computer vision
multi-class classification
fish detection
YOLOv4
Automatic Waterline Extraction and Topographic Mapping of Tidal Flats From SAR Images Based on Deep Learning
期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2022, 卷号: 49, 期号: 2, 页码: 13
作者:
Zhang, Shuangshang
;
Xu, Qing
;
Wang, Haoyu
;
Kang, Yanyan
;
Li, Xiaofeng
Adobe PDF(5243Kb)
  |  
收藏
  |  
浏览/下载:138/0
  |  
提交时间:2022/04/12
synthetic aperture radar
tidal flat
deep learning
waterline
DEM
Tropical Cyclone Intensity Estimation From Geostationary Satellite Imagery Using Deep Convolutional Neural Networks
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16
作者:
Wang, Chong
;
Zheng, Gang
;
Li, Xiaofeng
;
Xu, Qing
;
Liu, Bin
;
Zhang, Jun
Adobe PDF(4821Kb)
  |  
收藏
  |  
浏览/下载:163/0
  |  
提交时间:2022/02/18
Estimation
Ocean temperature
Clouds
Tropical cyclones
Cyclones
Training
Geostationary satellites
Convolutional neural network (CNN)
deep learning
remote sensing
tropical cyclone (TC)