English

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

Computer Vision and Pattern Recognition 2017-04-05 v3

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.

Keywords

Cite

@article{arxiv.1609.07986,
  title  = {Super-resolving multiresolution images with band-independant geometry of multispectral pixels},
  author = {Nicolas Brodu},
  journal= {arXiv preprint arXiv:1609.07986},
  year   = {2017}
}

Comments

Source code with a ready-to-use script for super-resolving Sentinel-2 data is available at http://nicolas.brodu.net/recherche/superres/

R2 v1 2026-06-22T16:01:24.169Z