Hyperspectral Image Super-Resolution: A Deep Learning Approach
Published:Dec 10, 2025 11:35
•1 min read
•ArXiv
Analysis
This ArXiv paper introduces a novel convolutional network architecture for enhancing the resolution of hyperspectral images, a task crucial in remote sensing and environmental monitoring. The dual-domain approach likely targets both spectral and spatial features, potentially leading to improved accuracy compared to single-domain methods.
Key Takeaways
Reference
“The paper focuses on single-image super-resolution for hyperspectral data.”