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Toward Real-Time Solar Content-Based Image Retrieval

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Computational Science – ICCS 2024 (ICCS 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14832))

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Abstract

We present a new approach for real-time retrieval and classification of solar images using a proposed sector-based image hashing technique. To this end, we generate intermediate hand-crafted features from automatically detected active regions in the form of layer-sector-based descriptors. Additionally, we employ a small fully-connected autoencoder to encode and finally obtain the concise Layer-Sector Solar Hash. By reducing the amount of data required to describe the Sun images, we achieve almost real-time retrieval speed of similar images to the query image. Since solar AIA images are not labeled, for the purposes of the presented test experiments, we consider images produced within a short time frame (typically up to several hours) to be similar. This approach has several potential applications, including searching, classifying, and retrieving solar flares, which are of critical importance for many aspects of life on Earth.

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Author information

Authors and Affiliations

  1. Czestochowa University of Technology, al. Armii Krajowej 36, Czestochowa, Poland

    Rafał Grycuk & Rafał Scherer

  2. Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy

    Giorgio De Magistris & Christian Napoli

  3. Institute for Systems Analysis and Computer Science, Italian National Research Council, Rome, Italy

    Christian Napoli

Authors
  1. Rafał Grycuk
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  2. Giorgio De Magistris
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  3. Christian Napoli
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  4. Rafał Scherer
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Corresponding author

Correspondence to Rafał Grycuk .

Editor information

Editors and Affiliations

  1. University of Malaga, Malaga, Spain

    Leonardo Franco

  2. University of Amsterdam, Amsterdam, The Netherlands

    Clélia de Mulatier

  3. AGH University of Science and Technology, Krakow, Poland

    Maciej Paszynski

  4. University of Amsterdam, Amsterdam, The Netherlands

    Valeria V. Krzhizhanovskaya

  5. University of Tennessee, Knoxville, TN, USA

    Jack J. Dongarra

  6. University of Amsterdam, Amsterdam, The Netherlands

    Peter M. A. Sloot

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Grycuk, R., De Magistris, G., Napoli, C., Scherer, R. (2024). Toward Real-Time Solar Content-Based Image Retrieval. In: Franco, L., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2024. ICCS 2024. Lecture Notes in Computer Science, vol 14832. Springer, Cham. https://doi.org/10.1007/978-3-031-63749-0_8

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  • DOI: https://doi.org/10.1007/978-3-031-63749-0_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-63748-3

  • Online ISBN: 978-3-031-63749-0

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