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Spatial Attention Unet Cloud Segmentation
S
Spatial Attention Unet Cloud Segmentation
Developed by MagicaNeko
A satellite image segmentation model based on the UNet architecture with integrated spatial attention mechanism, specifically designed for cloud detection tasks in multispectral data.
Downloads 75
Release Time : 4/5/2025
Model Overview
This model combines the efficient feature extraction capability of UNet with a spatial attention mechanism, focusing on cloud segmentation in satellite imagery and is suitable for multispectral image analysis.
Model Features
Spatial Attention Mechanism
Enhances the model's ability to focus on important spatial regions through an integrated spatial attention module, improving segmentation accuracy.
Multispectral Processing Capability
Specially designed to process satellite multispectral image data, effectively utilizing multi-band information.
Lightweight Architecture
Based on a lightweight UNet design, it reduces computational resource requirements while maintaining performance.
Model Capabilities
Satellite Image Segmentation
Cloud Detection
Multispectral Image Analysis
Pixel-level Classification
Use Cases
Meteorological Monitoring
Cloud Cover Analysis
Used for cloud cover detection and analysis in meteorological satellite data
Accurately identifies cloud regions, providing data support for weather forecasting
Environmental Monitoring
Atmospheric Pollution Monitoring
Assists in atmospheric pollution monitoring through cloud distribution analysis
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