Super-resolving multiresolution images with band-independant geometry of multispectral pixels

Nicolas Brodu (1)

1 GeoStat - Geometry and Statistics in acquisition data

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.

Mots clés: Super-resolution; Sentinel-2; Remote Sensing

Domaines: Traitement des images [eess.IV]; Sciences de l'environnement

Nicolas Brodu. Super-resolving multiresolution images with band-independant geometry of multispectral pixels. IEEE Transactions on Geoscience and Remote Sensing, 2017, pp.1 - 8. ⟨10.1109/TGRS.2017.2694881⟩. ⟨hal-01555993⟩