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科研机构
海洋研究所 [11]
内容类型
期刊论文 [11]
发表日期
2024 [3]
2023 [2]
2022 [5]
2019 [1]
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内容类型:期刊论文
专题:海洋研究所
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Tropical cyclone intensity forecasting using model knowledge guided deep learning model
期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2024, 卷号: 19, 期号: 2, 页码: 10
作者:
Wang, Chong
;
Li, Xiaofeng
;
Zheng, Gang
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浏览/下载:0/0
  |  
提交时间:2024/04/07
tropical cyclone intensity forecast
deep learning
model knowledge
Graph-Based Memory Recall Recurrent Neural Network for Mid-Term Sea-Surface Height Anomaly Forecasting
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 6642-6657
作者:
Zhou, Yuan
;
Ren, Tian
;
Chen, Keran
;
Gao, Le
;
Li, Xiaofeng
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浏览/下载:0/0
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提交时间:2024/06/04
Forecasting
Predictive models
Atmospheric waves
Spatiotemporal phenomena
Sea surface
Ocean waves
Data models
Sea-surface height anomaly (SSHA)
deep learning (DL)
spatiotemporal prediction
Rossby waves
Reconstructing 3-D Thermohaline Structures for Mesoscale Eddies Using Satellite Observations and Deep Learning
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 16
作者:
Liu, Yingjie
;
Wang, Haoyu
;
Jiang, Fei
;
Zhou, Yuan
;
Li, Xiaofeng
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浏览/下载:0/0
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提交时间:2024/06/04
Deep learning (DL)
mesoscale eddies
prior knowledge-embedded
reconstruction of 3-D thermohaline structure
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
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浏览/下载:1/0
  |  
提交时间:2024/04/07
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
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浏览/下载:6/0
  |  
提交时间:2023/12/13
Phytoplankton pigments
Remote sensing
Deep learning
Satellite
Global Ocean
Phytoplankton community
El Nino
A Deep Learning Model to Extract Ship Size From Sentinel-1 SAR Images
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 14
作者:
Ren, Yibin
;
Li, Xiaofeng
;
Xu, Huan
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浏览/下载:41/0
  |  
提交时间:2022/02/18
Marine vehicles
Radar polarimetry
Feature extraction
Synthetic aperture radar
Data mining
Radar imaging
Oceans
Custom loss function
deep learning (DL)
deep neural network (DNN) regression
ship size extraction
synthetic aperture radar (SAR) image
Development of a Dual-Attention U-Net Model for Sea Ice and Open Water Classification on SAR Images
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:
Ren, Yibin
;
Li, Xiaofeng
;
Yang, Xiaofeng
;
Xu, Huan
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  |  
浏览/下载:54/0
  |  
提交时间:2022/02/18
Sea ice
Radar polarimetry
Feature extraction
Decoding
Oceans
Kernel
Image segmentation
Dual-attention
sea ice and open water classification
synthetic aperture radar (SAR) image
U-Net
AlgaeNet: A Deep-Learning Framework to Detect Floating Green Algae From Optical and SAR Imagery
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15, 页码: 2782-2796
作者:
Gao, Le
;
Li, Xiaofeng
;
Kong, Fanzhou
;
Yu, Rencheng
;
Guo, Yuan
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2022/07/18
Algae
MODIS
Synthetic aperture radar
Optical sensors
Optical imaging
Marine vehicles
Spatial resolution
Deep learning (DL)
green algae detection
satellite remote sensing
Multilayer Fusion Recurrent Neural Network for Sea Surface Height Anomaly Field Prediction
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 11
作者:
Zhou, Yuan
;
Lu, Chang
;
Chen, Keran
;
Li, Xiaofeng
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/04/12
Computer architecture
Microprocessors
Predictive models
Mathematical models
Sea surface
Data models
Satellites
Deep learning (DL)
field prediction
satellite remote sensing data
sea surface height anomaly (SSHA)
A Deep Learning Model for Green Algae Detection on SAR Images
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 14
作者:
Guo, Yuan
;
Gao, Le
;
Li, Xiaofeng
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/01/04
Green products
Algae
Radar polarimetry
Tides
Ocean temperature
Feature extraction
Sea surface
Deep learning (DL)
green algae
Sentinel-1 synthetic aperture radar (SAR) image
Yellow Sea
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