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Computer Optics, 2016, Volume 40, Issue 5, Pages 689–712
DOI: https://doi.org/10.18287/2412-6179-2016-40-5-689-712 (Mi co291) 		 
This article is cited in 9 scientific papers (total in 9 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Hyperspectral remote sensing data compression and protection

M. V. Gashnikova, N. I. Glumovab, A. V. Kuznetsovab, V. A. Mitekinab, V. V. Myasnikovab, V. V. Sergeevab

a Samara National Research University, Samara, Russia
b Image Processing Systems Institute îf RAS, – Branch of the FSRC “Crystallography and Photonics” RAS, Samara, Russia
Full-text PDF (862 kB) Citations (9)
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DOI: https://doi.org/10.18287/2412-6179-2016-40-5-689-712
Abstract: In this paper, we consider methods for hyperspectral image processing, required in systems of image formation, storage, and transmission and aimed at solving problems of data compression and protection. A modification of the digital image compression method based on a hierarchical grid interpolation is proposed. Methods of active (on the basis of digital watermarking) and passive (on the basis of artificial image distortion detection) data protection against unauthorized dissemination are developed and investigated.
Keywords: digital image processing, image analysis, hyperspectral images, data compression, hierarchical grid interpolation method, digital watermarks.
Funding agency Grant number
Russian Science Foundation 14 31-00014
The work was funded by the Russian Science Foundation, grant No. 14 31-00014.
Received: 06.10.2016
Accepted: 25.10.2016
Document Type: Article
Language: English
Citation: 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”, Computer Optics, 40:5 (2016), 689–712
Citation in format AMSBIB
\Bibitem{GasGluKuz16}
\by M.~V.~Gashnikov, N.~I.~Glumov, A.~V.~Kuznetsov, V.~A.~Mitekin, V.~V.~Myasnikov, V.~V.~Sergeev
\paper Hyperspectral remote sensing data compression and protection
\jour Computer Optics
\yr 2016
\vol 40
\issue 5
\pages 689--712
\mathnet{http://mi.mathnet.ru/co291}
\crossref{https://doi.org/10.18287/2412-6179-2016-40-5-689-712}
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    • This publication is cited in the following 9 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Computer Optics
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    References:35
     
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