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Computer Optics, 2016, Volume 40, Issue 5, Pages 689–712 (Mi co291)  

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

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.


DOI: https://doi.org/10.18287/2412-6179-2016-40-5-689-712

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Full text: http://www.computeroptics.smr.ru/.../400513.html
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Received: 06.10.2016
Accepted:25.10.2016
Language:

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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