Spatially Varying Degradation Modeling and Pansharpening for Large-Scale Multispectral Images (opens in new tab)

Existing pansharpening methods mostly rely on globally uniform degradation modeling, such as applying a single MTF-matched image filter or a set of fixed spectral coefficients to the entire image. However, with increasing spatial resolution and coverage of satellite imagery, regional variations in sensor response and atmospheric conditions become non-negligible. These factors introduce spatially varying degradations that cannot be adequately captured by unified models and continuing to use gl...