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