基于深度卷积神经网络的海洋多目标涡旋检测方法
提出了一种基于深度卷积神经网络的海洋多目标涡旋检测方法。首先利用改进的密集卷积精确提取海洋涡旋特征，并使用跨层融合技术提高特征的利用率，来充分捕捉边缘信息；然后结合转置卷积和跳过连接构建上采样路径得到检测结果，以获得更高的检测准确率；最后在CMEMS(哥白尼海洋环境监测服务中心)发布的公开数据集上对本工作提出的方法进行了对比实验，实验结果表明：与 …
Qiming Liu
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Reconstruction of Subsurface Salinity Structure in the South China Sea Using Satellite Observations: A LightGBM-Based Deep Forest Method
Accurately estimating the ocean's interior structures using sea surface data is of vital importance for understanding the complexities of dynamic ocean processes. In this study, we …
Lin Dong
The Controlling of the Subtropical High Leading Modes on the Spatial Pattern of Tropical Cyclone Genesis in the Western North Pacific and Tracks Landing on the East Coast of China
As a prime circulation system, the western Pacific subtropical high (WPSH) significantly impacts tropical cyclone (TC) activities over the western North Pacific (WNP), especially …
Sea Surface Temperature Prediction With Memory Graph Convolutional Networks
We develop a memory graph convolutional network (MGCN) framework for sea surface temperature (SST) prediction. The MGCN consists of two memory layers: one graph layer and one …
Xiaoyu Zhang
Correcting Predictions from Simulating Wave Nearshore Model via Gaussian Process Regression
Accurately predicting wave height has a significant impact on offshore production and marine transportation. Numerical model predictions are the most commonly used wave height …
Xiaoyu Zhang
Ocean wave height series prediction with numerical long short-term memory
This paper investigates the possibility of using machine learning technology to correct wave height series numerical predictions. This is done by incorporating numerical …
Xiaoyu Zhang
Subsurface Temperature Estimation from Sea Surface Data Using Neural Network Models in the Western Pacific Ocean
Estimating the ocean subsurface thermal structure (OSTS) based on multisource sea surface data in the western Pacific Ocean is of great significance for studying ocean dynamics …
Haoyu Wang
Centuries of Monthly and 3-Hourly Global Ocean Wave Data for Past, Present, and Future Climate Research
Ocean surface waves are essential to navigation safety, coastal activities, and climate systems. Numerical simulations are still the primary methods used in wave climate research, …
Peak Colocalized Orthogonal Matching Pursuit for Seismic Trace Decomposition
Orthogonal matching pursuit (OMP) is an efficient method for decomposing a seismic trace with regard to an atom dictionary. The original OMP optimizes one unique single objective …
Sea surface temperature inversion model for infrared remote sensing images based on deep neural network
Highlights•We propose a new sea surface temperature inversion model.•The model is based on deep neural network.•This model is more accurate than traditional method.•The model is …
