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Avtomatika i Telemekhanika, 2010, Issue 3, Pages 147–161 (Mi at796)  

This article is cited in 10 scientific papers (total in 10 papers)

Image Processing

A hierarchical compression method for space images

M. V. Gashnikov, N. I. Glumov, V. V. Sergeev

Image Processing Systems Institute, Russian Academy of Sciences, Samara, Russia
References:
Abstract: We consider an image compression method based on hierarchical grid interpolation and its application in two practical problems: storing space images in large databases and onboard data processing in remote sensing systems. We give a general description of the method, results of comparing this method with others in both efficiency and access time for space images stored in a database. We give algorithms of stabilizing the compressed data flow and increasing its error-resistance that are necessary to implement the method in onboard systems.
Presented by the member of Editorial Board: A. I. Kibzun

Received: 02.03.2009
English version:
Automation and Remote Control, 2010, Volume 71, Issue 3, Pages 501–513
DOI: https://doi.org/10.1134/S0005117910030112
Bibliographic databases:
Document Type: Article
PACS: 07.05.Pj, 42.30.Va
Language: Russian
Citation: M. V. Gashnikov, N. I. Glumov, V. V. Sergeev, “A hierarchical compression method for space images”, Avtomat. i Telemekh., 2010, no. 3, 147–161; Autom. Remote Control, 71:3 (2010), 501–513
Citation in format AMSBIB
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\paper A~hierarchical compression method for space images
\jour Avtomat. i Telemekh.
\yr 2010
\issue 3
\pages 147--161
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\transl
\jour Autom. Remote Control
\yr 2010
\vol 71
\issue 3
\pages 501--513
\crossref{https://doi.org/10.1134/S0005117910030112}
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Linking options:
  • https://www.mathnet.ru/eng/at796
  • https://www.mathnet.ru/eng/at/y2010/i3/p147
  • This publication is cited in the following 10 articles:
    1. N. Yu. Ilyasova, V. V. Sergeyev, N. S. Demin, “Scientific School of Academician V.A. Soifer in the Field of Processing, Analysis, and Recognition of Images and Optical Signals”, Pattern Recognit. Image Anal., 33:4 (2023), 1080  crossref
    2. Aleksey Maksimov, Mikhail Gashnikov, 2023 IX International Conference on Information Technology and Nanotechnology (ITNT), 2023, 1  crossref
    3. Bavrina A.Y., Fedoseev V.A., “Semi-Fragile Watermarking With Recovery Capabilities For Hgi Compression Method”, Comput. Opt., 46:1 (2022), 103–112  crossref  isi
    4. Alina Bavrina, Victor Fedoseev, 2021 International Conference on Information Technology and Nanotechnology (ITNT), 2021, 1  crossref
    5. Zheltov S., 2020 Vi International Conference on Information Technology and Nanotechnology (IEEE Itnt-2020), ed. Kudryashov D., IEEE, 2020  crossref  isi  scopus
    6. M. V. Gashnikov, N. I. Glumov, A. V. Kuznetsov, V. A. Mitekin, V. V. Myasnikov, V. V. Sergeev, “Hyperspectral remote sensing data compression and protection”, Kompyuternaya optika, 40:5 (2016), 689–712  mathnet  crossref
    7. M. V. Gashnikov, N. I. Glumov, “Development and investigation of a hierarchical compression algorithm for storing hyperspectral images”, Opt. Mem. Neural Networks, 25:3 (2016), 168  crossref
    8. M. V. Gashnikov, N. I. Glumov, “Ierarkhicheskaya kompressiya v zadache khraneniya giperspektralnykh izobrazhenii”, Kompyuternaya optika, 38:3 (2014), 482–488  mathnet
    9. M. V. Gashnikov, N. I. Glumov, “Ierarkhicheskaya setochnaya interpolyatsiya pri szhatii giperspektralnykh izobrazhenii”, Kompyuternaya optika, 38:1 (2014), 87–93  mathnet
    10. M. V. Gashnikov, N. I. Glumov, “Hierarchical GRID interpolation under hyperspectral images compression”, Opt. Mem. Neural Networks, 23:4 (2014), 246  crossref
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Avtomatika i Telemekhanika
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