Deep Learning

MAFSRM: A Multiangle Feature Separation and Reconstruction Module for Industrial Defect Detection featured image

MAFSRM: A Multiangle Feature Separation and Reconstruction Module for Industrial Defect Detection

In industrial manufacturing, the measurability of surface defects directly impacts the accuracy of quality assessment and the effectiveness of process control. While object …

Zongshuai Zhang
Attention-Enhanced Deep Learning Model for Reconstruction and Downscaling of Thermocline Depth in the Tropical Indian Ocean featured image

Attention-Enhanced Deep Learning Model for Reconstruction and Downscaling of Thermocline Depth in the Tropical Indian Ocean

Accurate estimation of high-resolution thermocline depth is important for investigating ocean processes and climate variability on multiple scales. Due to the sparse coverage and …

Zhongkun Feng
Sea Surface Temperature and Marine Heat Wave Predictions in the South China Sea: A 3D U-Net Deep Learning Model Integrating Multi-Source Data featured image

Sea Surface Temperature and Marine Heat Wave Predictions in the South China Sea: A 3D U-Net Deep Learning Model Integrating Multi-Source Data

Accurate sea surface temperature (SST) prediction is vital for disaster prevention, ocean circulation, and climate change. Traditional SST prediction methods, predominantly reliant …

Bowen Xie
Attention-Enhanced Deep Learning Approach for Marine Heatwave Forecasting featured image

Attention-Enhanced Deep Learning Approach for Marine Heatwave Forecasting

Marine heatwave(MHW) events refer to periods of significantly elevated sea surface temperatures(SST), persisting from days to months, with significant impacts on marine ecosystems, …

Yiyun Liu
One2ThreeNet: An Automatic Microscale-Based Modulation Recognition Method for Underwater Acoustic Communication Systems featured image

One2ThreeNet: An Automatic Microscale-Based Modulation Recognition Method for Underwater Acoustic Communication Systems

Automatic modulation recognition (AMR) technology enables receivers to automatically recognize the modulation type of the received signal for correct demodulation of the received …

Jingjing Wang
GWSM4C: A Global Wave Surrogate Model for Climate Simulation Based on a Convolutional Architecture featured image

GWSM4C: A Global Wave Surrogate Model for Climate Simulation Based on a Convolutional Architecture

Ocean waves are a critical component of the Earth system, yet directly coupling wave models in climate simulations is computationally expensive. We introduce GWSM4C, a Global Wave …

Quan Jin
Multi-scale spatial and spectral feature fusion for soil carbon content prediction based on hyperspectral images featured image

Multi-scale spatial and spectral feature fusion for soil carbon content prediction based on hyperspectral images

Soil carbon content prediction based on hyperspectral images can achieve large-scale spatial measurement, which has the advantages of wide coverage and fast information collection, …

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李雪莹
GSDNet: A Deep Learning Model for Downscaling the Significant Wave Height Based on NAFNet featured image

GSDNet: A Deep Learning Model for Downscaling the Significant Wave Height Based on NAFNet

Finer resolution is one of the development trends in ocean surface waves simulation and forecasting. However, high-resolution numerical models for ocean surface waves have led to …

Xiaoyu Wu
An overview of hyperspectral image feature extraction, classification methods and the methods based on small samples featured image

An overview of hyperspectral image feature extraction, classification methods and the methods based on small samples

Hyperspectral image (HSI) contains rich spatial and spectral information, which has been widely used in resource exploration, ecological environment monitoring, land cover …

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李雪莹
Missing data reconstruction in VHR images based on progressive structure prediction and texture generation featured image

Missing data reconstruction in VHR images based on progressive structure prediction and texture generation

Very high resolution (VHR) satellite and aerial images often suffer from scene occlusion caused by redundant objects. The task of removing these redundant objects can be solved by …

Hanwen Xu