Hyperspectral remote sensing data compression and protection

Hyperspectral remote sensing data compression and protection

Автор: Gashnikov Mikhael Valeryevich, Glumov Nikolay Ivanovich, Kuznetsov Andrey Vladimirovich, Mitekin Vitaly Anatolyevich, Myasnikov Vladislav Valerievich, Sergeyev Vladislav Victorovich

Журнал: Компьютерная оптика @computer-optics

Рубрика: Обработка изображений: Распознавание образов

Статья в выпуске: 5 т.40, 2016 года.

Бесплатный доступ

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.

Digital image processing, image analysis, hyperspectral images, data compression, hierarchical grid interpolation method, digital watermarks

Короткий адрес: https://sciup.org/14059609

IDR: 14059609   |   DOI: 10.18287/2412-6179-2016-40-5-689-712

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