# Data fusion of satellite imagery for generation of daily cloud free images at high resolution level

arXiv: https://arxiv.org/abs/2302.12495 · HTML: https://mlsanity.com/paper/2302.12495/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 45 references that are in the map.
- First posted on arXiv 24 Feb 2023.

## Builds on (most cited first, 3 of 3)

- [Hyperspectral pansharpening: a review](https://mlsanity.com/paper/1504.04531/) (2015)
- [Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation](https://mlsanity.com/paper/1710.05705/) (2017)
- [Robust Image Reconstruction with Misaligned Structural Information](https://mlsanity.com/paper/2004.00589/) (2020)

## Abstract (arXiv)

In this paper we discuss a new variational approach to the Date Fusion problem of multi-spectral satellite images from Sentinel-2 and MODIS that have been captured at different resolution level and, arguably, on different days. The crucial point of our approach that the MODIS image is cloud-free whereas the images from Sentinel-2 can be corrupted by clouds or noise.