Dongyx1128/CEGATSR
Implementation of CNN-Enhanced Graph Attention Network for Hyperspectral Image Super-Resolution Using Non-Local Self-Similarity (CEGATSR) in Pytorch.
This project helps remote sensing specialists and geoscientists enhance the detail and clarity of hyperspectral images. It takes in low-resolution hyperspectral images and produces high-resolution versions, revealing more intricate features across different spectral bands. This is useful for anyone who relies on fine-grained spectral and spatial information from satellite or aerial imagery.
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Use this if you need to improve the spatial resolution of hyperspectral images to get more detailed insights from your data, especially when dealing with limited training samples.
Not ideal if your primary goal is to process standard RGB images or if you require real-time processing of very large datasets with existing high resolution.
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Python
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Last pushed
Jul 21, 2025
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