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

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Intelligent Information and Database Systems (ACIIDS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11431))

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Abstract

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.

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Notes

  1. 1.

    Images taken by Lunar Reconnaissance Orbiter Camera, NASA/GSFC/Arizona State University.

  2. 2.

    B4MultiSR dataset is available at https://research.future-processing.com/sispare/dataset.

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Acknowledgements

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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Authors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Daniel Kostrzewa, Pawel Benecki & Lukasz Jenczmyk

Authors
  1. Daniel Kostrzewa
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  2. Pawel Benecki
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  3. Lukasz Jenczmyk
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Corresponding author

Correspondence to Daniel Kostrzewa .

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Editors and Affiliations

  1. Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Ngoc Thanh Nguyen

  2. Bina Nusantara University, Jakarta, Indonesia

    Ford Lumban Gaol

  3. National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Kostrzewa, D., Benecki, P., Jenczmyk, L. (2019). Enhancing the Resolution of Satellite Images Using the Best Matching Image Fragment. In: Nguyen, N., Gaol, F., Hong, TP., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2019. Lecture Notes in Computer Science(), vol 11431. Springer, Cham. https://doi.org/10.1007/978-3-030-14799-0_50

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  • DOI: https://doi.org/10.1007/978-3-030-14799-0_50

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