Super-resolving multiresolution images with band-independent geometry of multispectral pixels
Abstract
A new resolution enhancement method is presented for multispectral and multi-resolution images, such as these provided by the Sentinel-2
satellites. Starting from the highest resolution bands, band-dependent information (reflectance) is separated from information that is common to
all bands (geometry of scene elements). This model is then applied to unmix low-resolution bands, preserving their reflectance, while propagating
band-independent information to preserve the sub-pixel details. A reference implementation is provided, with an application example for super-resolving Sentinel-2 data.