Multispectral Image Super-resolution
3 papers with code • 3 benchmarks • 2 datasets
Most implemented papers
Swin2-MoSE: A New Single Image Super-Resolution Model for Remote Sensing
Due to the limitations of current optical and sensor technologies and the high cost of updating them, the spectral and spatial resolution of satellites may not always meet desired requirements.
Local-Global Transformer Enhanced Unfolding Network for Pan-sharpening
Moreover, we customize a Local-Global Transformer (LGT) to simultaneously model local and global dependencies, and further formulate an LGT-based prior module for image denoising.
ResSR: A Computationally Efficient Residual Approach to Super-Resolving Multispectral Images
Consequently, researchers have proposed multispectral image super-resolution (MSI-SR) methods which upsample low-resolution bands to achieve a common resolution across all wavelengths.