Hyperspectral regression lossless compression algorithm of aerospace images

In this work, we propose an algorithm for compressing lossless hyperspectral aerospace images, which is characterized by the use of a channel-difference linear regression transformation, which significantly reduces the range of data changes and increases the degree of compression. The main idea of t...

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Bibliographic Details
Main Authors: Sarinova Assiya, Zamyatin Alexander
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/09/e3sconf_rpers2020_02003.pdf