Enhancing the Resolution of Satellite Images Using the Best Matching Image Fragment

  • Daniel KostrzewaEmail author
  • Pawel Benecki
  • Lukasz Jenczmyk
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11431)


Due to very high costs and a long revisit time, it is challenging to obtain good quality satellite images of the area of interest. As a result, super resolution reconstruction (SRR) methods which allow for creating a high-resolution (HR) image based on single or multiple low-resolution (LR) observations are being extensively developed. In this paper, we propose a few improvements to well-known single-image SRR technique based on a dictionary of pairs of matched LR and HR image fragments. The modifications concern both increasing the number of pairs of images fragments and the reconstruction algorithm itself in order to achieve visually pleasing results. This allows us to increase the quality of newly produced HR satellite images what is supported by conducted experiments.


Dictionary of matched fragments Image processing Satellite image Single-image super-resolution reconstruction 



This work was supported by research funds of Institute of Informatics, Silesian University of Technology, Gliwice, Poland (grant no. BKM-556/RAU2/2018).


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Institute of InformaticsSilesian University of TechnologyGliwicePoland

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