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Please use this identifier to cite or link to this item: http://elib.bsu.by/handle/123456789/158780
Title: Hyperspectral data compression framework for Earth remote sensing objectives
Authors: Podenok, L.
Pertsev, D.
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика
ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика
ЭБ БГУ::ТЕХНИЧЕСКИЕ И ПРИКЛАДНЫЕ НАУКИ. ОТРАСЛИ ЭКОНОМИКИ::Медицина и здравоохранение
Issue Date: 2016
Publisher: Minsk: Publishing Center of BSU
Abstract: The hyperspectral data compression framework to well investigate various compression models is presented. Results received with arithmetic coder and various predictors are adduced. For complexness and performance comparison there are given results obtained using widespread codecs such as the 7-Zip, GZip, BZip2, LZMA. As a test data the Maine frame set from the AVIRIS freely available data was used. The received results testify the efficiency of the proposed framework in comparison with some alternative lossless compression algorithms.
URI: http://elib.bsu.by/handle/123456789/158780
Appears in Collections:2016. PATTERN RECOGNITION AND INFORMATION PROCESSING (PRIP’2016)

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