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

arXiv 2302.12495 ↗First posted 24 Feb 2023math.OC cs.CVcited by 0

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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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 3 of its 45 references that are in the map. First posted on arXiv 24 Feb 2023.

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3 of 45 references.

References · 3

  1. 2015Hyperspectral pansharpening: a reviewcited by 55
  2. 2017Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variationcited by 7
  3. 2020Robust Image Reconstruction with Misaligned Structural Informationcited by 3

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