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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
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.
Received: 06.10.2016 Accepted: 25.10.2016
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
Linking options:
https://www.mathnet.ru/eng/co291 https://www.mathnet.ru/eng/co/v40/i5/p689
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Abstract page: | 205 | Full-text PDF : | 107 | References: | 46 |
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