Journal of Siberian Federal University. Engineering & Technologies / The Compression Algorithm of Hyperspectral Aerospace Images with Use of Mathematical Processing and Intrabands Correlation

Full text (.pdf)
Issue
Journal of Siberian Federal University. Engineering & Technologies. 2018 11 (8)
Authors
Sarinova, Assiya Zh.; Zamyatin, Alexander V.
Contact information
Sarinova, Assiya Zh.: National Research Tomsk State University 36 Lenin, Tomsk, 634050, Russia; assiya_prog@mail.ru; Zamyatin, Alexander V.: National Research Tomsk State University 36 Lenin, Tomsk, 634050, Russia; zamyatin@mail.tsu.ru
Keywords
hyperspectral aerospace images; the compression algorithm; intraband correlation; indexed encoding, channel groups
Abstract

This article reveals the features of the channels of hyperspectral aerospace images. There has been suggested the algorithm with interchannel finding of the best channel of intrabands correlation and the use of indexed lossless encoding, which allows to reduce the dimensions of the image channels and to convert them before compression. Also the article shows the results of experiments in comparison with universal archivers such as Winrar, 7Z, and JPEG Lossless according to the compression degree and several parameters: the interchannel correlation, geometric image size, number of channels, number of channel groups. Furthermore, the author of the article studies the options of compression with the search of the main channel of the correlation and without it; these options demonstrate the increase in compression degree due to differential transformations, which allow to store the information in a more compressed form

Pages
882-891
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/109191

Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

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